In [1]:
pip install fastf1 matplotlib pandas numpy
Requirement already satisfied: fastf1 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (3.6.0) Requirement already satisfied: matplotlib in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (3.9.2) Requirement already satisfied: pandas in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (2.2.2) Requirement already satisfied: numpy in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (1.26.4) Requirement already satisfied: python-dateutil in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from fastf1) (2.9.0.post0) Requirement already satisfied: rapidfuzz in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from fastf1) (3.13.0) Requirement already satisfied: requests-cache>=1.0.0 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from fastf1) (1.2.1) Requirement already satisfied: requests>=2.28.1 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from fastf1) (2.32.3) Requirement already satisfied: scipy<2.0.0,>=1.8.1 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from fastf1) (1.13.1) Requirement already satisfied: timple>=0.1.6 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from fastf1) (0.1.8) Requirement already satisfied: websockets<14,>=10.3 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from fastf1) (13.1) Requirement already satisfied: contourpy>=1.0.1 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib) (1.2.0) Requirement already satisfied: cycler>=0.10 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib) (0.11.0) Requirement already satisfied: fonttools>=4.22.0 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib) (4.51.0) Requirement already satisfied: kiwisolver>=1.3.1 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib) (1.4.4) Requirement already satisfied: packaging>=20.0 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib) (24.1) Requirement already satisfied: pillow>=8 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib) (10.4.0) Requirement already satisfied: pyparsing>=2.3.1 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib) (3.1.2) Requirement already satisfied: pytz>=2020.1 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from pandas) (2024.1) Requirement already satisfied: tzdata>=2022.7 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from pandas) (2023.3) Requirement already satisfied: six>=1.5 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from python-dateutil->fastf1) (1.16.0) Requirement already satisfied: charset-normalizer<4,>=2 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from requests>=2.28.1->fastf1) (3.3.2) Requirement already satisfied: idna<4,>=2.5 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from requests>=2.28.1->fastf1) (3.7) Requirement already satisfied: urllib3<3,>=1.21.1 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from requests>=2.28.1->fastf1) (2.2.3) Requirement already satisfied: certifi>=2017.4.17 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from requests>=2.28.1->fastf1) (2024.8.30) Requirement already satisfied: attrs>=21.2 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from requests-cache>=1.0.0->fastf1) (25.3.0) Requirement already satisfied: cattrs>=22.2 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from requests-cache>=1.0.0->fastf1) (25.1.1) Requirement already satisfied: platformdirs>=2.5 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from requests-cache>=1.0.0->fastf1) (3.10.0) Requirement already satisfied: url-normalize>=1.4 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from requests-cache>=1.0.0->fastf1) (2.2.1) Requirement already satisfied: typing-extensions>=4.12.2 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from cattrs>=22.2->requests-cache>=1.0.0->fastf1) (4.14.1) Note: you may need to restart the kernel to use updated packages.
In [2]:
pip install timple
Requirement already satisfied: timple in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (0.1.8) Requirement already satisfied: numpy in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from timple) (1.26.4) Requirement already satisfied: matplotlib in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from timple) (3.9.2) Requirement already satisfied: contourpy>=1.0.1 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib->timple) (1.2.0) Requirement already satisfied: cycler>=0.10 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib->timple) (0.11.0) Requirement already satisfied: fonttools>=4.22.0 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib->timple) (4.51.0) Requirement already satisfied: kiwisolver>=1.3.1 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib->timple) (1.4.4) Requirement already satisfied: packaging>=20.0 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib->timple) (24.1) Requirement already satisfied: pillow>=8 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib->timple) (10.4.0) Requirement already satisfied: pyparsing>=2.3.1 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib->timple) (3.1.2) Requirement already satisfied: python-dateutil>=2.7 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from matplotlib->timple) (2.9.0.post0) Requirement already satisfied: six>=1.5 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from python-dateutil>=2.7->matplotlib->timple) (1.16.0) Note: you may need to restart the kernel to use updated packages.
In [3]:
import fastf1
import pandas as pd
fastf1.Cache.enable_cache('C:/Users/KANMANIVISHWAA/Desktop/project/data')
In [4]:
pd.set_option('display.max_rows', 5000)
pd.set_option('display.max_columns', 5000)
pd.set_option('display.width', 10000)
In [5]:
from fastf1 import get_session
session = get_session(2024, 'Spanish Grand Prix', 'R') # 'R' = Race, 'Q' = Quali, 'FP1', etc.
session.load()
core INFO Loading data for Spanish Grand Prix - Race [v3.6.0] req INFO Using cached data for session_info req INFO Using cached data for driver_info req INFO Using cached data for session_status_data req INFO Using cached data for lap_count req INFO Using cached data for track_status_data req INFO Using cached data for _extended_timing_data req INFO Using cached data for timing_app_data core INFO Processing timing data... req INFO Using cached data for car_data req INFO Using cached data for position_data req INFO Using cached data for weather_data req INFO Using cached data for race_control_messages core WARNING Driver 1 completed the race distance 00:00.015000 before the recorded end of the session. core INFO Finished loading data for 20 drivers: ['1', '4', '44', '63', '16', '55', '81', '11', '10', '31', '27', '14', '24', '18', '3', '77', '20', '23', '22', '2']
In [6]:
drivers = session.drivers
print("Drivers in session:", drivers)
# Get full names
for drv in drivers:
print(session.get_driver(drv)['FullName'])
Drivers in session: ['1', '4', '44', '63', '16', '55', '81', '11', '10', '31', '27', '14', '24', '18', '3', '77', '20', '23', '22', '2'] Max Verstappen Lando Norris Lewis Hamilton George Russell Charles Leclerc Carlos Sainz Oscar Piastri Sergio Perez Pierre Gasly Esteban Ocon Nico Hulkenberg Fernando Alonso Guanyu Zhou Lance Stroll Daniel Ricciardo Valtteri Bottas Kevin Magnussen Alexander Albon Yuki Tsunoda Logan Sargeant
In [7]:
laps = session.laps
print(laps.head())
Time Driver DriverNumber LapTime LapNumber Stint PitOutTime PitInTime Sector1Time Sector2Time Sector3Time Sector1SessionTime Sector2SessionTime Sector3SessionTime SpeedI1 SpeedI2 SpeedFL SpeedST IsPersonalBest Compound TyreLife FreshTyre Team LapStartTime LapStartDate TrackStatus Position Deleted DeletedReason FastF1Generated IsAccurate 0 0 days 00:58:20.507000 VER 1 0 days 00:01:23.186000 1.0 1.0 NaT NaT NaT 0 days 00:00:32.054000 0 days 00:00:23.658000 NaT 0 days 00:57:56.994000 0 days 00:58:20.728000 262.0 270.0 276.0 270.0 False SOFT 4.0 False Red Bull Racing 0 days 00:56:57.095000 2024-06-23 13:03:14.413 1 2.0 False False False 1 0 days 00:59:40.378000 VER 1 0 days 00:01:19.871000 2.0 1.0 NaT NaT 0 days 00:00:24.201000 0 days 00:00:31.900000 0 days 00:00:23.770000 0 days 00:58:44.757000 0 days 00:59:16.657000 0 days 00:59:40.427000 NaN 276.0 280.0 300.0 True SOFT 5.0 False Red Bull Racing 0 days 00:58:20.507000 2024-06-23 13:04:37.825 1 2.0 False False True 2 0 days 01:00:59.742000 VER 1 0 days 00:01:19.364000 3.0 1.0 NaT NaT 0 days 00:00:23.249000 0 days 00:00:32.086000 0 days 00:00:24.029000 0 days 01:00:03.676000 0 days 01:00:35.762000 0 days 01:00:59.791000 266.0 269.0 273.0 324.0 True SOFT 6.0 False Red Bull Racing 0 days 00:59:40.378000 2024-06-23 13:05:57.696 1 1.0 False False True 3 0 days 01:02:20.508000 VER 1 0 days 00:01:20.766000 4.0 1.0 NaT NaT 0 days 00:00:24.251000 0 days 00:00:32.339000 0 days 00:00:24.176000 0 days 01:01:24.042000 0 days 01:01:56.381000 0 days 01:02:20.557000 261.0 265.0 273.0 292.0 False SOFT 7.0 False Red Bull Racing 0 days 01:00:59.742000 2024-06-23 13:07:17.060 1 1.0 False False True 4 0 days 01:03:41.335000 VER 1 0 days 00:01:20.827000 5.0 1.0 NaT NaT 0 days 00:00:24.165000 0 days 00:00:32.393000 0 days 00:00:24.269000 0 days 01:02:44.722000 0 days 01:03:17.115000 0 days 01:03:41.384000 260.0 262.0 272.0 296.0 False SOFT 8.0 False Red Bull Racing 0 days 01:02:20.508000 2024-06-23 13:08:37.826 1 1.0 False False True
In [8]:
# Filter for a specific driver (e.g., Max Verstappen)
driver_laps = laps.pick_drivers('VER') # Use the 3-letter driver code
print(driver_laps[['LapNumber', 'LapTime', 'Compound', 'PitInTime', 'PitOutTime']])
LapNumber LapTime Compound PitInTime PitOutTime 0 1.0 0 days 00:01:23.186000 SOFT NaT NaT 1 2.0 0 days 00:01:19.871000 SOFT NaT NaT 2 3.0 0 days 00:01:19.364000 SOFT NaT NaT 3 4.0 0 days 00:01:20.766000 SOFT NaT NaT 4 5.0 0 days 00:01:20.827000 SOFT NaT NaT 5 6.0 0 days 00:01:20.876000 SOFT NaT NaT 6 7.0 0 days 00:01:20.973000 SOFT NaT NaT 7 8.0 0 days 00:01:20.989000 SOFT NaT NaT 8 9.0 0 days 00:01:21.042000 SOFT NaT NaT 9 10.0 0 days 00:01:21.003000 SOFT NaT NaT 10 11.0 0 days 00:01:20.954000 SOFT NaT NaT 11 12.0 0 days 00:01:21.376000 SOFT NaT NaT 12 13.0 0 days 00:01:20.807000 SOFT NaT NaT 13 14.0 0 days 00:01:20.989000 SOFT NaT NaT 14 15.0 0 days 00:01:21.097000 SOFT NaT NaT 15 16.0 0 days 00:01:21.223000 SOFT NaT NaT 16 17.0 0 days 00:01:24.876000 SOFT 0 days 01:19:54.894000 NaT 17 18.0 0 days 00:01:37.657000 MEDIUM NaT 0 days 01:20:16.487000 18 19.0 0 days 00:01:19.725000 MEDIUM NaT NaT 19 20.0 0 days 00:01:19.966000 MEDIUM NaT NaT 20 21.0 0 days 00:01:20.304000 MEDIUM NaT NaT 21 22.0 0 days 00:01:19.742000 MEDIUM NaT NaT 22 23.0 0 days 00:01:19.605000 MEDIUM NaT NaT 23 24.0 0 days 00:01:19.701000 MEDIUM NaT NaT 24 25.0 0 days 00:01:19.363000 MEDIUM NaT NaT 25 26.0 0 days 00:01:19.882000 MEDIUM NaT NaT 26 27.0 0 days 00:01:19.694000 MEDIUM NaT NaT 27 28.0 0 days 00:01:20.101000 MEDIUM NaT NaT 28 29.0 0 days 00:01:19.792000 MEDIUM NaT NaT 29 30.0 0 days 00:01:19.807000 MEDIUM NaT NaT 30 31.0 0 days 00:01:20.011000 MEDIUM NaT NaT 31 32.0 0 days 00:01:19.891000 MEDIUM NaT NaT 32 33.0 0 days 00:01:19.836000 MEDIUM NaT NaT 33 34.0 0 days 00:01:19.958000 MEDIUM NaT NaT 34 35.0 0 days 00:01:20.185000 MEDIUM NaT NaT 35 36.0 0 days 00:01:19.926000 MEDIUM NaT NaT 36 37.0 0 days 00:01:19.803000 MEDIUM NaT NaT 37 38.0 0 days 00:01:19.813000 MEDIUM NaT NaT 38 39.0 0 days 00:01:19.669000 MEDIUM NaT NaT 39 40.0 0 days 00:01:20.310000 MEDIUM NaT NaT 40 41.0 0 days 00:01:19.648000 MEDIUM NaT NaT 41 42.0 0 days 00:01:19.920000 MEDIUM NaT NaT 42 43.0 0 days 00:01:20.301000 MEDIUM NaT NaT 43 44.0 0 days 00:01:23.427000 MEDIUM 0 days 01:56:12.895000 NaT 44 45.0 0 days 00:01:37.053000 SOFT NaT 0 days 01:56:35.276000 45 46.0 0 days 00:01:17.886000 SOFT NaT NaT 46 47.0 0 days 00:01:17.998000 SOFT NaT NaT 47 48.0 0 days 00:01:18.416000 SOFT NaT NaT 48 49.0 0 days 00:01:18.254000 SOFT NaT NaT 49 50.0 0 days 00:01:18.074000 SOFT NaT NaT 50 51.0 0 days 00:01:17.958000 SOFT NaT NaT 51 52.0 0 days 00:01:17.931000 SOFT NaT NaT 52 53.0 0 days 00:01:18.140000 SOFT NaT NaT 53 54.0 0 days 00:01:17.776000 SOFT NaT NaT 54 55.0 0 days 00:01:18.021000 SOFT NaT NaT 55 56.0 0 days 00:01:18.354000 SOFT NaT NaT 56 57.0 0 days 00:01:18.127000 SOFT NaT NaT 57 58.0 0 days 00:01:18.187000 SOFT NaT NaT 58 59.0 0 days 00:01:18.114000 SOFT NaT NaT 59 60.0 0 days 00:01:18.165000 SOFT NaT NaT 60 61.0 0 days 00:01:18.360000 SOFT NaT NaT 61 62.0 0 days 00:01:18.301000 SOFT NaT NaT 62 63.0 0 days 00:01:18.543000 SOFT NaT NaT 63 64.0 0 days 00:01:19.072000 SOFT NaT NaT 64 65.0 0 days 00:01:19.467000 SOFT NaT NaT 65 66.0 0 days 00:01:19.774000 SOFT NaT NaT
In [9]:
import pandas as pd
pd.options.mode.copy_on_write = True
In [10]:
lap = driver_laps.iloc[10] # for example, lap 10
tel = lap.get_telemetry()
# Speed, throttle, gear, etc.
print(tel[['Speed', 'Throttle', 'Brake', 'RPM']].head())
Speed Throttle Brake RPM 2 277.205001 100.0 False 11051.780047 3 278.000000 100.0 False 11091.000000 4 278.418750 100.0 False 11095.606254 5 279.543750 100.0 False 11107.981254 6 280.000000 100.0 False 11113.000000
In [11]:
# List of driver codes (3-letter abbreviations)
drivers_to_analyze = ['VER', 'HAM', 'PER', 'LEC', 'ALO','NOR','PIA']
# Create an empty list to collect all laps
all_laps = []
# Loop over each driver and collect their lap data
for code in drivers_to_analyze:
driver_laps = session.laps.pick_drivers(code)
driver_laps['Driver'] = code # add a column for identification
all_laps.append(driver_laps)
# Combine all laps into a single DataFrame
multi_driver_laps = pd.concat(all_laps, ignore_index=True)
laps=multi_driver_laps[['Driver', 'LapNumber', 'LapTime', 'Compound','TrackStatus', 'Stint', 'PitInTime', 'PitOutTime']]
laps
Out[11]:
| Driver | LapNumber | LapTime | Compound | TrackStatus | Stint | PitInTime | PitOutTime | |
|---|---|---|---|---|---|---|---|---|
| 0 | VER | 1.0 | 0 days 00:01:23.186000 | SOFT | 1 | 1.0 | NaT | NaT |
| 1 | VER | 2.0 | 0 days 00:01:19.871000 | SOFT | 1 | 1.0 | NaT | NaT |
| 2 | VER | 3.0 | 0 days 00:01:19.364000 | SOFT | 1 | 1.0 | NaT | NaT |
| 3 | VER | 4.0 | 0 days 00:01:20.766000 | SOFT | 1 | 1.0 | NaT | NaT |
| 4 | VER | 5.0 | 0 days 00:01:20.827000 | SOFT | 1 | 1.0 | NaT | NaT |
| 5 | VER | 6.0 | 0 days 00:01:20.876000 | SOFT | 1 | 1.0 | NaT | NaT |
| 6 | VER | 7.0 | 0 days 00:01:20.973000 | SOFT | 1 | 1.0 | NaT | NaT |
| 7 | VER | 8.0 | 0 days 00:01:20.989000 | SOFT | 1 | 1.0 | NaT | NaT |
| 8 | VER | 9.0 | 0 days 00:01:21.042000 | SOFT | 1 | 1.0 | NaT | NaT |
| 9 | VER | 10.0 | 0 days 00:01:21.003000 | SOFT | 1 | 1.0 | NaT | NaT |
| 10 | VER | 11.0 | 0 days 00:01:20.954000 | SOFT | 1 | 1.0 | NaT | NaT |
| 11 | VER | 12.0 | 0 days 00:01:21.376000 | SOFT | 1 | 1.0 | NaT | NaT |
| 12 | VER | 13.0 | 0 days 00:01:20.807000 | SOFT | 1 | 1.0 | NaT | NaT |
| 13 | VER | 14.0 | 0 days 00:01:20.989000 | SOFT | 1 | 1.0 | NaT | NaT |
| 14 | VER | 15.0 | 0 days 00:01:21.097000 | SOFT | 1 | 1.0 | NaT | NaT |
| 15 | VER | 16.0 | 0 days 00:01:21.223000 | SOFT | 1 | 1.0 | NaT | NaT |
| 16 | VER | 17.0 | 0 days 00:01:24.876000 | SOFT | 1 | 1.0 | 0 days 01:19:54.894000 | NaT |
| 17 | VER | 18.0 | 0 days 00:01:37.657000 | MEDIUM | 1 | 2.0 | NaT | 0 days 01:20:16.487000 |
| 18 | VER | 19.0 | 0 days 00:01:19.725000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 19 | VER | 20.0 | 0 days 00:01:19.966000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 20 | VER | 21.0 | 0 days 00:01:20.304000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 21 | VER | 22.0 | 0 days 00:01:19.742000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 22 | VER | 23.0 | 0 days 00:01:19.605000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 23 | VER | 24.0 | 0 days 00:01:19.701000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 24 | VER | 25.0 | 0 days 00:01:19.363000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 25 | VER | 26.0 | 0 days 00:01:19.882000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 26 | VER | 27.0 | 0 days 00:01:19.694000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 27 | VER | 28.0 | 0 days 00:01:20.101000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 28 | VER | 29.0 | 0 days 00:01:19.792000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 29 | VER | 30.0 | 0 days 00:01:19.807000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 30 | VER | 31.0 | 0 days 00:01:20.011000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 31 | VER | 32.0 | 0 days 00:01:19.891000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 32 | VER | 33.0 | 0 days 00:01:19.836000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 33 | VER | 34.0 | 0 days 00:01:19.958000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 34 | VER | 35.0 | 0 days 00:01:20.185000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 35 | VER | 36.0 | 0 days 00:01:19.926000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 36 | VER | 37.0 | 0 days 00:01:19.803000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 37 | VER | 38.0 | 0 days 00:01:19.813000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 38 | VER | 39.0 | 0 days 00:01:19.669000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 39 | VER | 40.0 | 0 days 00:01:20.310000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 40 | VER | 41.0 | 0 days 00:01:19.648000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 41 | VER | 42.0 | 0 days 00:01:19.920000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 42 | VER | 43.0 | 0 days 00:01:20.301000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 43 | VER | 44.0 | 0 days 00:01:23.427000 | MEDIUM | 1 | 2.0 | 0 days 01:56:12.895000 | NaT |
| 44 | VER | 45.0 | 0 days 00:01:37.053000 | SOFT | 1 | 3.0 | NaT | 0 days 01:56:35.276000 |
| 45 | VER | 46.0 | 0 days 00:01:17.886000 | SOFT | 1 | 3.0 | NaT | NaT |
| 46 | VER | 47.0 | 0 days 00:01:17.998000 | SOFT | 1 | 3.0 | NaT | NaT |
| 47 | VER | 48.0 | 0 days 00:01:18.416000 | SOFT | 1 | 3.0 | NaT | NaT |
| 48 | VER | 49.0 | 0 days 00:01:18.254000 | SOFT | 1 | 3.0 | NaT | NaT |
| 49 | VER | 50.0 | 0 days 00:01:18.074000 | SOFT | 1 | 3.0 | NaT | NaT |
| 50 | VER | 51.0 | 0 days 00:01:17.958000 | SOFT | 1 | 3.0 | NaT | NaT |
| 51 | VER | 52.0 | 0 days 00:01:17.931000 | SOFT | 1 | 3.0 | NaT | NaT |
| 52 | VER | 53.0 | 0 days 00:01:18.140000 | SOFT | 1 | 3.0 | NaT | NaT |
| 53 | VER | 54.0 | 0 days 00:01:17.776000 | SOFT | 1 | 3.0 | NaT | NaT |
| 54 | VER | 55.0 | 0 days 00:01:18.021000 | SOFT | 1 | 3.0 | NaT | NaT |
| 55 | VER | 56.0 | 0 days 00:01:18.354000 | SOFT | 1 | 3.0 | NaT | NaT |
| 56 | VER | 57.0 | 0 days 00:01:18.127000 | SOFT | 1 | 3.0 | NaT | NaT |
| 57 | VER | 58.0 | 0 days 00:01:18.187000 | SOFT | 1 | 3.0 | NaT | NaT |
| 58 | VER | 59.0 | 0 days 00:01:18.114000 | SOFT | 1 | 3.0 | NaT | NaT |
| 59 | VER | 60.0 | 0 days 00:01:18.165000 | SOFT | 1 | 3.0 | NaT | NaT |
| 60 | VER | 61.0 | 0 days 00:01:18.360000 | SOFT | 1 | 3.0 | NaT | NaT |
| 61 | VER | 62.0 | 0 days 00:01:18.301000 | SOFT | 1 | 3.0 | NaT | NaT |
| 62 | VER | 63.0 | 0 days 00:01:18.543000 | SOFT | 1 | 3.0 | NaT | NaT |
| 63 | VER | 64.0 | 0 days 00:01:19.072000 | SOFT | 1 | 3.0 | NaT | NaT |
| 64 | VER | 65.0 | 0 days 00:01:19.467000 | SOFT | 1 | 3.0 | NaT | NaT |
| 65 | VER | 66.0 | 0 days 00:01:19.774000 | SOFT | 1 | 3.0 | NaT | NaT |
| 66 | HAM | 1.0 | 0 days 00:01:24.441000 | SOFT | 1 | 1.0 | NaT | NaT |
| 67 | HAM | 2.0 | 0 days 00:01:20.594000 | SOFT | 1 | 1.0 | NaT | NaT |
| 68 | HAM | 3.0 | 0 days 00:01:20.421000 | SOFT | 1 | 1.0 | NaT | NaT |
| 69 | HAM | 4.0 | 0 days 00:01:20.496000 | SOFT | 1 | 1.0 | NaT | NaT |
| 70 | HAM | 5.0 | 0 days 00:01:21.050000 | SOFT | 1 | 1.0 | NaT | NaT |
| 71 | HAM | 6.0 | 0 days 00:01:21.200000 | SOFT | 1 | 1.0 | NaT | NaT |
| 72 | HAM | 7.0 | 0 days 00:01:21.223000 | SOFT | 1 | 1.0 | NaT | NaT |
| 73 | HAM | 8.0 | 0 days 00:01:21.538000 | SOFT | 1 | 1.0 | NaT | NaT |
| 74 | HAM | 9.0 | 0 days 00:01:21.207000 | SOFT | 1 | 1.0 | NaT | NaT |
| 75 | HAM | 10.0 | 0 days 00:01:21.380000 | SOFT | 1 | 1.0 | NaT | NaT |
| 76 | HAM | 11.0 | 0 days 00:01:21.192000 | SOFT | 1 | 1.0 | NaT | NaT |
| 77 | HAM | 12.0 | 0 days 00:01:21.505000 | SOFT | 1 | 1.0 | NaT | NaT |
| 78 | HAM | 13.0 | 0 days 00:01:21.450000 | SOFT | 1 | 1.0 | NaT | NaT |
| 79 | HAM | 14.0 | 0 days 00:01:21.601000 | SOFT | 1 | 1.0 | NaT | NaT |
| 80 | HAM | 15.0 | 0 days 00:01:21.977000 | SOFT | 1 | 1.0 | NaT | NaT |
| 81 | HAM | 16.0 | 0 days 00:01:24.966000 | SOFT | 1 | 1.0 | 0 days 01:18:40.850000 | NaT |
| 82 | HAM | 17.0 | 0 days 00:01:38.332000 | MEDIUM | 1 | 2.0 | NaT | 0 days 01:19:02.820000 |
| 83 | HAM | 18.0 | 0 days 00:01:20.038000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 84 | HAM | 19.0 | 0 days 00:01:19.307000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 85 | HAM | 20.0 | 0 days 00:01:19.703000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 86 | HAM | 21.0 | 0 days 00:01:19.915000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 87 | HAM | 22.0 | 0 days 00:01:20.008000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 88 | HAM | 23.0 | 0 days 00:01:19.788000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 89 | HAM | 24.0 | 0 days 00:01:20.059000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 90 | HAM | 25.0 | 0 days 00:01:19.972000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 91 | HAM | 26.0 | 0 days 00:01:19.915000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 92 | HAM | 27.0 | 0 days 00:01:20.590000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 93 | HAM | 28.0 | 0 days 00:01:20.236000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 94 | HAM | 29.0 | 0 days 00:01:19.757000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 95 | HAM | 30.0 | 0 days 00:01:19.896000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 96 | HAM | 31.0 | 0 days 00:01:20.327000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 97 | HAM | 32.0 | 0 days 00:01:21.357000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 98 | HAM | 33.0 | 0 days 00:01:20.258000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 99 | HAM | 34.0 | 0 days 00:01:19.986000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 100 | HAM | 35.0 | 0 days 00:01:20.651000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 101 | HAM | 36.0 | 0 days 00:01:20.606000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 102 | HAM | 37.0 | 0 days 00:01:19.404000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 103 | HAM | 38.0 | 0 days 00:01:19.658000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 104 | HAM | 39.0 | 0 days 00:01:20.037000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 105 | HAM | 40.0 | 0 days 00:01:20.032000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 106 | HAM | 41.0 | 0 days 00:01:19.600000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 107 | HAM | 42.0 | 0 days 00:01:20.224000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 108 | HAM | 43.0 | 0 days 00:01:24.149000 | MEDIUM | 1 | 2.0 | 0 days 01:55:04.969000 | NaT |
| 109 | HAM | 44.0 | 0 days 00:01:36.194000 | SOFT | 1 | 3.0 | NaT | 0 days 01:55:26.245000 |
| 110 | HAM | 45.0 | 0 days 00:01:18.759000 | SOFT | 1 | 3.0 | NaT | NaT |
| 111 | HAM | 46.0 | 0 days 00:01:17.809000 | SOFT | 1 | 3.0 | NaT | NaT |
| 112 | HAM | 47.0 | 0 days 00:01:18.212000 | SOFT | 1 | 3.0 | NaT | NaT |
| 113 | HAM | 48.0 | 0 days 00:01:18.840000 | SOFT | 1 | 3.0 | NaT | NaT |
| 114 | HAM | 49.0 | 0 days 00:01:18.976000 | SOFT | 1 | 3.0 | NaT | NaT |
| 115 | HAM | 50.0 | 0 days 00:01:18.209000 | SOFT | 1 | 3.0 | NaT | NaT |
| 116 | HAM | 51.0 | 0 days 00:01:18.277000 | SOFT | 1 | 3.0 | NaT | NaT |
| 117 | HAM | 52.0 | 0 days 00:01:18.417000 | SOFT | 1 | 3.0 | NaT | NaT |
| 118 | HAM | 53.0 | 0 days 00:01:18.605000 | SOFT | 1 | 3.0 | NaT | NaT |
| 119 | HAM | 54.0 | 0 days 00:01:18.533000 | SOFT | 1 | 3.0 | NaT | NaT |
| 120 | HAM | 55.0 | 0 days 00:01:18.788000 | SOFT | 1 | 3.0 | NaT | NaT |
| 121 | HAM | 56.0 | 0 days 00:01:18.432000 | SOFT | 1 | 3.0 | NaT | NaT |
| 122 | HAM | 57.0 | 0 days 00:01:18.623000 | SOFT | 1 | 3.0 | NaT | NaT |
| 123 | HAM | 58.0 | 0 days 00:01:18.688000 | SOFT | 1 | 3.0 | NaT | NaT |
| 124 | HAM | 59.0 | 0 days 00:01:18.640000 | SOFT | 1 | 3.0 | NaT | NaT |
| 125 | HAM | 60.0 | 0 days 00:01:18.635000 | SOFT | 1 | 3.0 | NaT | NaT |
| 126 | HAM | 61.0 | 0 days 00:01:18.839000 | SOFT | 1 | 3.0 | NaT | NaT |
| 127 | HAM | 62.0 | 0 days 00:01:19.337000 | SOFT | 1 | 3.0 | NaT | NaT |
| 128 | HAM | 63.0 | 0 days 00:01:18.942000 | SOFT | 1 | 3.0 | NaT | NaT |
| 129 | HAM | 64.0 | 0 days 00:01:19.166000 | SOFT | 1 | 3.0 | NaT | NaT |
| 130 | HAM | 65.0 | 0 days 00:01:19.009000 | SOFT | 1 | 3.0 | NaT | NaT |
| 131 | HAM | 66.0 | 0 days 00:01:20.041000 | SOFT | 1 | 3.0 | NaT | NaT |
| 132 | PER | 1.0 | 0 days 00:01:28.615000 | SOFT | 1 | 1.0 | NaT | NaT |
| 133 | PER | 2.0 | 0 days 00:01:22.234000 | SOFT | 1 | 1.0 | NaT | NaT |
| 134 | PER | 3.0 | 0 days 00:01:21.849000 | SOFT | 1 | 1.0 | NaT | NaT |
| 135 | PER | 4.0 | 0 days 00:01:22.097000 | SOFT | 1 | 1.0 | NaT | NaT |
| 136 | PER | 5.0 | 0 days 00:01:21.655000 | SOFT | 1 | 1.0 | NaT | NaT |
| 137 | PER | 6.0 | 0 days 00:01:21.526000 | SOFT | 1 | 1.0 | NaT | NaT |
| 138 | PER | 7.0 | 0 days 00:01:21.490000 | SOFT | 1 | 1.0 | NaT | NaT |
| 139 | PER | 8.0 | 0 days 00:01:22.010000 | SOFT | 1 | 1.0 | NaT | NaT |
| 140 | PER | 9.0 | 0 days 00:01:21.481000 | SOFT | 1 | 1.0 | NaT | NaT |
| 141 | PER | 10.0 | 0 days 00:01:21.680000 | SOFT | 1 | 1.0 | NaT | NaT |
| 142 | PER | 11.0 | 0 days 00:01:21.734000 | SOFT | 1 | 1.0 | NaT | NaT |
| 143 | PER | 12.0 | 0 days 00:01:21.983000 | SOFT | 1 | 1.0 | NaT | NaT |
| 144 | PER | 13.0 | 0 days 00:01:25.586000 | SOFT | 1 | 1.0 | 0 days 01:14:48.600000 | NaT |
| 145 | PER | 14.0 | 0 days 00:01:39.168000 | SOFT | 1 | 2.0 | NaT | 0 days 01:15:10.785000 |
| 146 | PER | 15.0 | 0 days 00:01:20.167000 | SOFT | 1 | 2.0 | NaT | NaT |
| 147 | PER | 16.0 | 0 days 00:01:20.583000 | SOFT | 1 | 2.0 | NaT | NaT |
| 148 | PER | 17.0 | 0 days 00:01:20.420000 | SOFT | 1 | 2.0 | NaT | NaT |
| 149 | PER | 18.0 | 0 days 00:01:20.162000 | SOFT | 1 | 2.0 | NaT | NaT |
| 150 | PER | 19.0 | 0 days 00:01:20.559000 | SOFT | 1 | 2.0 | NaT | NaT |
| 151 | PER | 20.0 | 0 days 00:01:20.661000 | SOFT | 1 | 2.0 | NaT | NaT |
| 152 | PER | 21.0 | 0 days 00:01:21.033000 | SOFT | 1 | 2.0 | NaT | NaT |
| 153 | PER | 22.0 | 0 days 00:01:21.205000 | SOFT | 1 | 2.0 | NaT | NaT |
| 154 | PER | 23.0 | 0 days 00:01:21.082000 | SOFT | 1 | 2.0 | NaT | NaT |
| 155 | PER | 24.0 | 0 days 00:01:20.609000 | SOFT | 1 | 2.0 | NaT | NaT |
| 156 | PER | 25.0 | 0 days 00:01:20.593000 | SOFT | 1 | 2.0 | NaT | NaT |
| 157 | PER | 26.0 | 0 days 00:01:20.821000 | SOFT | 1 | 2.0 | NaT | NaT |
| 158 | PER | 27.0 | 0 days 00:01:20.918000 | SOFT | 1 | 2.0 | NaT | NaT |
| 159 | PER | 28.0 | 0 days 00:01:22.179000 | SOFT | 1 | 2.0 | NaT | NaT |
| 160 | PER | 29.0 | 0 days 00:01:21.234000 | SOFT | 1 | 2.0 | NaT | NaT |
| 161 | PER | 30.0 | 0 days 00:01:21.403000 | SOFT | 1 | 2.0 | NaT | NaT |
| 162 | PER | 31.0 | 0 days 00:01:25.420000 | SOFT | 1 | 2.0 | 0 days 01:39:26.906000 | NaT |
| 163 | PER | 32.0 | 0 days 00:01:36.491000 | MEDIUM | 1 | 3.0 | NaT | 0 days 01:39:48.261000 |
| 164 | PER | 33.0 | 0 days 00:01:18.652000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 165 | PER | 34.0 | 0 days 00:01:19.548000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 166 | PER | 35.0 | 0 days 00:01:19.316000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 167 | PER | 36.0 | 0 days 00:01:18.936000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 168 | PER | 37.0 | 0 days 00:01:19.059000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 169 | PER | 38.0 | 0 days 00:01:19.488000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 170 | PER | 39.0 | 0 days 00:01:18.990000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 171 | PER | 40.0 | 0 days 00:01:19.367000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 172 | PER | 41.0 | 0 days 00:01:19.387000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 173 | PER | 42.0 | 0 days 00:01:19.072000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 174 | PER | 43.0 | 0 days 00:01:19.480000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 175 | PER | 44.0 | 0 days 00:01:19.617000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 176 | PER | 45.0 | 0 days 00:01:19.469000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 177 | PER | 46.0 | 0 days 00:01:19.406000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 178 | PER | 47.0 | 0 days 00:01:19.846000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 179 | PER | 48.0 | 0 days 00:01:19.811000 | MEDIUM | 1 | 3.0 | NaT | NaT |
| 180 | PER | 49.0 | 0 days 00:01:23.203000 | MEDIUM | 1 | 3.0 | 0 days 02:03:36.017000 | NaT |
| 181 | PER | 50.0 | 0 days 00:01:36.990000 | SOFT | 1 | 4.0 | NaT | 0 days 02:03:57.454000 |
| 182 | PER | 51.0 | 0 days 00:01:17.785000 | SOFT | 1 | 4.0 | NaT | NaT |
| 183 | PER | 52.0 | 0 days 00:01:18.373000 | SOFT | 1 | 4.0 | NaT | NaT |
| 184 | PER | 53.0 | 0 days 00:01:18.290000 | SOFT | 1 | 4.0 | NaT | NaT |
| 185 | PER | 54.0 | 0 days 00:01:18.430000 | SOFT | 1 | 4.0 | NaT | NaT |
| 186 | PER | 55.0 | 0 days 00:01:18.540000 | SOFT | 1 | 4.0 | NaT | NaT |
| 187 | PER | 56.0 | 0 days 00:01:18.572000 | SOFT | 1 | 4.0 | NaT | NaT |
| 188 | PER | 57.0 | 0 days 00:01:18.935000 | SOFT | 1 | 4.0 | NaT | NaT |
| 189 | PER | 58.0 | 0 days 00:01:19.305000 | SOFT | 1 | 4.0 | NaT | NaT |
| 190 | PER | 59.0 | 0 days 00:01:19.193000 | SOFT | 1 | 4.0 | NaT | NaT |
| 191 | PER | 60.0 | 0 days 00:01:19.017000 | SOFT | 1 | 4.0 | NaT | NaT |
| 192 | PER | 61.0 | 0 days 00:01:18.772000 | SOFT | 1 | 4.0 | NaT | NaT |
| 193 | PER | 62.0 | 0 days 00:01:18.934000 | SOFT | 1 | 4.0 | NaT | NaT |
| 194 | PER | 63.0 | 0 days 00:01:19.688000 | SOFT | 1 | 4.0 | NaT | NaT |
| 195 | PER | 64.0 | 0 days 00:01:19.357000 | SOFT | 1 | 4.0 | NaT | NaT |
| 196 | PER | 65.0 | 0 days 00:01:19.124000 | SOFT | 1 | 4.0 | NaT | NaT |
| 197 | PER | 66.0 | 0 days 00:01:19.151000 | SOFT | 1 | 4.0 | NaT | NaT |
| 198 | LEC | 1.0 | 0 days 00:01:25.423000 | SOFT | 1 | 1.0 | NaT | NaT |
| 199 | LEC | 2.0 | 0 days 00:01:20.842000 | SOFT | 1 | 1.0 | NaT | NaT |
| 200 | LEC | 3.0 | 0 days 00:01:21.287000 | SOFT | 1 | 1.0 | NaT | NaT |
| 201 | LEC | 4.0 | 0 days 00:01:20.569000 | SOFT | 1 | 1.0 | NaT | NaT |
| 202 | LEC | 5.0 | 0 days 00:01:20.932000 | SOFT | 1 | 1.0 | NaT | NaT |
| 203 | LEC | 6.0 | 0 days 00:01:21.227000 | SOFT | 1 | 1.0 | NaT | NaT |
| 204 | LEC | 7.0 | 0 days 00:01:20.996000 | SOFT | 1 | 1.0 | NaT | NaT |
| 205 | LEC | 8.0 | 0 days 00:01:21.393000 | SOFT | 1 | 1.0 | NaT | NaT |
| 206 | LEC | 9.0 | 0 days 00:01:21.330000 | SOFT | 1 | 1.0 | NaT | NaT |
| 207 | LEC | 10.0 | 0 days 00:01:21.014000 | SOFT | 1 | 1.0 | NaT | NaT |
| 208 | LEC | 11.0 | 0 days 00:01:21.476000 | SOFT | 1 | 1.0 | NaT | NaT |
| 209 | LEC | 12.0 | 0 days 00:01:21.561000 | SOFT | 1 | 1.0 | NaT | NaT |
| 210 | LEC | 13.0 | 0 days 00:01:21.275000 | SOFT | 1 | 1.0 | NaT | NaT |
| 211 | LEC | 14.0 | 0 days 00:01:21.594000 | SOFT | 1 | 1.0 | NaT | NaT |
| 212 | LEC | 15.0 | 0 days 00:01:21.703000 | SOFT | 1 | 1.0 | NaT | NaT |
| 213 | LEC | 16.0 | 0 days 00:01:20.893000 | SOFT | 1 | 1.0 | NaT | NaT |
| 214 | LEC | 17.0 | 0 days 00:01:21.123000 | SOFT | 1 | 1.0 | NaT | NaT |
| 215 | LEC | 18.0 | 0 days 00:01:20.915000 | SOFT | 1 | 1.0 | NaT | NaT |
| 216 | LEC | 19.0 | 0 days 00:01:21.096000 | SOFT | 1 | 1.0 | NaT | NaT |
| 217 | LEC | 20.0 | 0 days 00:01:21.159000 | SOFT | 1 | 1.0 | NaT | NaT |
| 218 | LEC | 21.0 | 0 days 00:01:21.497000 | SOFT | 1 | 1.0 | NaT | NaT |
| 219 | LEC | 22.0 | 0 days 00:01:21.451000 | SOFT | 1 | 1.0 | NaT | NaT |
| 220 | LEC | 23.0 | 0 days 00:01:21.723000 | SOFT | 1 | 1.0 | NaT | NaT |
| 221 | LEC | 24.0 | 0 days 00:01:25.337000 | SOFT | 1 | 1.0 | 0 days 01:29:32.468000 | NaT |
| 222 | LEC | 25.0 | 0 days 00:01:38.462000 | MEDIUM | 1 | 2.0 | NaT | 0 days 01:29:54.744000 |
| 223 | LEC | 26.0 | 0 days 00:01:19.381000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 224 | LEC | 27.0 | 0 days 00:01:18.811000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 225 | LEC | 28.0 | 0 days 00:01:19.324000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 226 | LEC | 29.0 | 0 days 00:01:19.482000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 227 | LEC | 30.0 | 0 days 00:01:19.675000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 228 | LEC | 31.0 | 0 days 00:01:19.791000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 229 | LEC | 32.0 | 0 days 00:01:19.509000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 230 | LEC | 33.0 | 0 days 00:01:19.535000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 231 | LEC | 34.0 | 0 days 00:01:19.610000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 232 | LEC | 35.0 | 0 days 00:01:20.177000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 233 | LEC | 36.0 | 0 days 00:01:19.907000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 234 | LEC | 37.0 | 0 days 00:01:19.553000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 235 | LEC | 38.0 | 0 days 00:01:19.640000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 236 | LEC | 39.0 | 0 days 00:01:19.459000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 237 | LEC | 40.0 | 0 days 00:01:19.665000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 238 | LEC | 41.0 | 0 days 00:01:19.662000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 239 | LEC | 42.0 | 0 days 00:01:19.781000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 240 | LEC | 43.0 | 0 days 00:01:19.981000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 241 | LEC | 44.0 | 0 days 00:01:20.064000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 242 | LEC | 45.0 | 0 days 00:01:19.901000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 243 | LEC | 46.0 | 0 days 00:01:20.001000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 244 | LEC | 47.0 | 0 days 00:01:23.761000 | MEDIUM | 1 | 2.0 | 0 days 02:00:27.622000 | NaT |
| 245 | LEC | 48.0 | 0 days 00:01:37.516000 | SOFT | 1 | 3.0 | NaT | 0 days 02:00:49.211000 |
| 246 | LEC | 49.0 | 0 days 00:01:18.090000 | SOFT | 1 | 3.0 | NaT | NaT |
| 247 | LEC | 50.0 | 0 days 00:01:18.182000 | SOFT | 1 | 3.0 | NaT | NaT |
| 248 | LEC | 51.0 | 0 days 00:01:18.179000 | SOFT | 1 | 3.0 | NaT | NaT |
| 249 | LEC | 52.0 | 0 days 00:01:17.897000 | SOFT | 1 | 3.0 | NaT | NaT |
| 250 | LEC | 53.0 | 0 days 00:01:17.956000 | SOFT | 1 | 3.0 | NaT | NaT |
| 251 | LEC | 54.0 | 0 days 00:01:18.385000 | SOFT | 1 | 3.0 | NaT | NaT |
| 252 | LEC | 55.0 | 0 days 00:01:18.551000 | SOFT | 1 | 3.0 | NaT | NaT |
| 253 | LEC | 56.0 | 0 days 00:01:18.530000 | SOFT | 1 | 3.0 | NaT | NaT |
| 254 | LEC | 57.0 | 0 days 00:01:18.110000 | SOFT | 1 | 3.0 | NaT | NaT |
| 255 | LEC | 58.0 | 0 days 00:01:18.213000 | SOFT | 1 | 3.0 | NaT | NaT |
| 256 | LEC | 59.0 | 0 days 00:01:18.185000 | SOFT | 1 | 3.0 | NaT | NaT |
| 257 | LEC | 60.0 | 0 days 00:01:18.447000 | SOFT | 1 | 3.0 | NaT | NaT |
| 258 | LEC | 61.0 | 0 days 00:01:18.735000 | SOFT | 1 | 3.0 | NaT | NaT |
| 259 | LEC | 62.0 | 0 days 00:01:18.533000 | SOFT | 1 | 3.0 | NaT | NaT |
| 260 | LEC | 63.0 | 0 days 00:01:18.965000 | SOFT | 1 | 3.0 | NaT | NaT |
| 261 | LEC | 64.0 | 0 days 00:01:19.030000 | SOFT | 1 | 3.0 | NaT | NaT |
| 262 | LEC | 65.0 | 0 days 00:01:19.074000 | SOFT | 1 | 3.0 | NaT | NaT |
| 263 | LEC | 66.0 | 0 days 00:01:19.410000 | SOFT | 1 | 3.0 | NaT | NaT |
| 264 | ALO | 1.0 | 0 days 00:01:29.190000 | SOFT | 1 | 1.0 | NaT | NaT |
| 265 | ALO | 2.0 | 0 days 00:01:22.501000 | SOFT | 1 | 1.0 | NaT | NaT |
| 266 | ALO | 3.0 | 0 days 00:01:21.912000 | SOFT | 1 | 1.0 | NaT | NaT |
| 267 | ALO | 4.0 | 0 days 00:01:21.955000 | SOFT | 1 | 1.0 | NaT | NaT |
| 268 | ALO | 5.0 | 0 days 00:01:22.593000 | SOFT | 1 | 1.0 | NaT | NaT |
| 269 | ALO | 6.0 | 0 days 00:01:23.536000 | SOFT | 1 | 1.0 | NaT | NaT |
| 270 | ALO | 7.0 | 0 days 00:01:23.456000 | SOFT | 1 | 1.0 | NaT | NaT |
| 271 | ALO | 8.0 | 0 days 00:01:22.542000 | SOFT | 1 | 1.0 | NaT | NaT |
| 272 | ALO | 9.0 | 0 days 00:01:22.353000 | SOFT | 1 | 1.0 | NaT | NaT |
| 273 | ALO | 10.0 | 0 days 00:01:22.426000 | SOFT | 1 | 1.0 | NaT | NaT |
| 274 | ALO | 11.0 | 0 days 00:01:21.955000 | SOFT | 1 | 1.0 | NaT | NaT |
| 275 | ALO | 12.0 | 0 days 00:01:21.050000 | SOFT | 1 | 1.0 | NaT | NaT |
| 276 | ALO | 13.0 | 0 days 00:01:21.589000 | SOFT | 1 | 1.0 | NaT | NaT |
| 277 | ALO | 14.0 | 0 days 00:01:21.855000 | SOFT | 1 | 1.0 | NaT | NaT |
| 278 | ALO | 15.0 | 0 days 00:01:21.840000 | SOFT | 1 | 1.0 | NaT | NaT |
| 279 | ALO | 16.0 | 0 days 00:01:22.546000 | SOFT | 1 | 1.0 | NaT | NaT |
| 280 | ALO | 17.0 | 0 days 00:01:23.260000 | SOFT | 1 | 1.0 | NaT | NaT |
| 281 | ALO | 18.0 | 0 days 00:01:22.186000 | SOFT | 1 | 1.0 | NaT | NaT |
| 282 | ALO | 19.0 | 0 days 00:01:25.298000 | SOFT | 1 | 1.0 | 0 days 01:23:08.727000 | NaT |
| 283 | ALO | 20.0 | 0 days 00:01:38.729000 | MEDIUM | 1 | 2.0 | NaT | 0 days 01:23:30.618000 |
| 284 | ALO | 21.0 | 0 days 00:01:20.488000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 285 | ALO | 22.0 | 0 days 00:01:20.345000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 286 | ALO | 23.0 | 0 days 00:01:20.773000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 287 | ALO | 24.0 | 0 days 00:01:21.140000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 288 | ALO | 25.0 | 0 days 00:01:21.199000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 289 | ALO | 26.0 | 0 days 00:01:21.291000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 290 | ALO | 27.0 | 0 days 00:01:21.391000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 291 | ALO | 28.0 | 0 days 00:01:21.411000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 292 | ALO | 29.0 | 0 days 00:01:21.457000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 293 | ALO | 30.0 | 0 days 00:01:21.426000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 294 | ALO | 31.0 | 0 days 00:01:21.276000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 295 | ALO | 32.0 | 0 days 00:01:20.904000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 296 | ALO | 33.0 | 0 days 00:01:21.093000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 297 | ALO | 34.0 | 0 days 00:01:21.916000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 298 | ALO | 35.0 | 0 days 00:01:21.192000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 299 | ALO | 36.0 | 0 days 00:01:21.028000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 300 | ALO | 37.0 | 0 days 00:01:20.993000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 301 | ALO | 38.0 | 0 days 00:01:20.536000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 302 | ALO | 39.0 | 0 days 00:01:22.382000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 303 | ALO | 40.0 | 0 days 00:01:21.113000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 304 | ALO | 41.0 | 0 days 00:01:21.139000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 305 | ALO | 42.0 | 0 days 00:01:20.537000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 306 | ALO | 43.0 | 0 days 00:01:20.435000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 307 | ALO | 44.0 | 0 days 00:01:20.539000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 308 | ALO | 45.0 | 0 days 00:01:24.032000 | MEDIUM | 1 | 2.0 | 0 days 01:58:37.626000 | NaT |
| 309 | ALO | 46.0 | 0 days 00:01:38.308000 | HARD | 1 | 3.0 | NaT | 0 days 01:59:00.092000 |
| 310 | ALO | 47.0 | 0 days 00:01:18.972000 | HARD | 1 | 3.0 | NaT | NaT |
| 311 | ALO | 48.0 | 0 days 00:01:18.727000 | HARD | 1 | 3.0 | NaT | NaT |
| 312 | ALO | 49.0 | 0 days 00:01:18.719000 | HARD | 1 | 3.0 | NaT | NaT |
| 313 | ALO | 50.0 | 0 days 00:01:18.334000 | HARD | 1 | 3.0 | NaT | NaT |
| 314 | ALO | 51.0 | 0 days 00:01:18.902000 | HARD | 1 | 3.0 | NaT | NaT |
| 315 | ALO | 52.0 | 0 days 00:01:19.666000 | HARD | 1 | 3.0 | NaT | NaT |
| 316 | ALO | 53.0 | 0 days 00:01:18.712000 | HARD | 1 | 3.0 | NaT | NaT |
| 317 | ALO | 54.0 | 0 days 00:01:19.415000 | HARD | 1 | 3.0 | NaT | NaT |
| 318 | ALO | 55.0 | 0 days 00:01:19.280000 | HARD | 1 | 3.0 | NaT | NaT |
| 319 | ALO | 56.0 | 0 days 00:01:19.025000 | HARD | 1 | 3.0 | NaT | NaT |
| 320 | ALO | 57.0 | 0 days 00:01:21.003000 | HARD | 1 | 3.0 | NaT | NaT |
| 321 | ALO | 58.0 | 0 days 00:01:19.355000 | HARD | 1 | 3.0 | NaT | NaT |
| 322 | ALO | 59.0 | 0 days 00:01:19.876000 | HARD | 1 | 3.0 | NaT | NaT |
| 323 | ALO | 60.0 | 0 days 00:01:20.583000 | HARD | 1 | 3.0 | NaT | NaT |
| 324 | ALO | 61.0 | 0 days 00:01:19.652000 | HARD | 1 | 3.0 | NaT | NaT |
| 325 | ALO | 62.0 | 0 days 00:01:19.617000 | HARD | 1 | 3.0 | NaT | NaT |
| 326 | ALO | 63.0 | 0 days 00:01:19.640000 | HARD | 1 | 3.0 | NaT | NaT |
| 327 | ALO | 64.0 | 0 days 00:01:19.387000 | HARD | 1 | 3.0 | NaT | NaT |
| 328 | ALO | 65.0 | 0 days 00:01:19.743000 | HARD | 1 | 3.0 | NaT | NaT |
| 329 | NOR | 1.0 | 0 days 00:01:23.953000 | SOFT | 1 | 1.0 | NaT | NaT |
| 330 | NOR | 2.0 | 0 days 00:01:20.215000 | SOFT | 1 | 1.0 | NaT | NaT |
| 331 | NOR | 3.0 | 0 days 00:01:20.243000 | SOFT | 1 | 1.0 | NaT | NaT |
| 332 | NOR | 4.0 | 0 days 00:01:20.702000 | SOFT | 1 | 1.0 | NaT | NaT |
| 333 | NOR | 5.0 | 0 days 00:01:21.134000 | SOFT | 1 | 1.0 | NaT | NaT |
| 334 | NOR | 6.0 | 0 days 00:01:21.056000 | SOFT | 1 | 1.0 | NaT | NaT |
| 335 | NOR | 7.0 | 0 days 00:01:21.293000 | SOFT | 1 | 1.0 | NaT | NaT |
| 336 | NOR | 8.0 | 0 days 00:01:21.443000 | SOFT | 1 | 1.0 | NaT | NaT |
| 337 | NOR | 9.0 | 0 days 00:01:21.143000 | SOFT | 1 | 1.0 | NaT | NaT |
| 338 | NOR | 10.0 | 0 days 00:01:21.223000 | SOFT | 1 | 1.0 | NaT | NaT |
| 339 | NOR | 11.0 | 0 days 00:01:21.285000 | SOFT | 1 | 1.0 | NaT | NaT |
| 340 | NOR | 12.0 | 0 days 00:01:21.354000 | SOFT | 1 | 1.0 | NaT | NaT |
| 341 | NOR | 13.0 | 0 days 00:01:21.432000 | SOFT | 1 | 1.0 | NaT | NaT |
| 342 | NOR | 14.0 | 0 days 00:01:21.660000 | SOFT | 1 | 1.0 | NaT | NaT |
| 343 | NOR | 15.0 | 0 days 00:01:21.541000 | SOFT | 1 | 1.0 | NaT | NaT |
| 344 | NOR | 16.0 | 0 days 00:01:20.471000 | SOFT | 1 | 1.0 | NaT | NaT |
| 345 | NOR | 17.0 | 0 days 00:01:20.908000 | SOFT | 1 | 1.0 | NaT | NaT |
| 346 | NOR | 18.0 | 0 days 00:01:20.447000 | SOFT | 1 | 1.0 | NaT | NaT |
| 347 | NOR | 19.0 | 0 days 00:01:20.635000 | SOFT | 1 | 1.0 | NaT | NaT |
| 348 | NOR | 20.0 | 0 days 00:01:20.816000 | SOFT | 1 | 1.0 | NaT | NaT |
| 349 | NOR | 21.0 | 0 days 00:01:20.907000 | SOFT | 1 | 1.0 | NaT | NaT |
| 350 | NOR | 22.0 | 0 days 00:01:20.928000 | SOFT | 1 | 1.0 | NaT | NaT |
| 351 | NOR | 23.0 | 0 days 00:01:25.185000 | SOFT | 1 | 1.0 | 0 days 01:28:04.732000 | NaT |
| 352 | NOR | 24.0 | 0 days 00:01:37.673000 | MEDIUM | 1 | 2.0 | NaT | 0 days 01:28:26.174000 |
| 353 | NOR | 25.0 | 0 days 00:01:18.503000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 354 | NOR | 26.0 | 0 days 00:01:19.856000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 355 | NOR | 27.0 | 0 days 00:01:19.317000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 356 | NOR | 28.0 | 0 days 00:01:19.835000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 357 | NOR | 29.0 | 0 days 00:01:19.720000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 358 | NOR | 30.0 | 0 days 00:01:19.389000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 359 | NOR | 31.0 | 0 days 00:01:20.145000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 360 | NOR | 32.0 | 0 days 00:01:19.868000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 361 | NOR | 33.0 | 0 days 00:01:20.090000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 362 | NOR | 34.0 | 0 days 00:01:19.855000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 363 | NOR | 35.0 | 0 days 00:01:20.478000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 364 | NOR | 36.0 | 0 days 00:01:19.447000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 365 | NOR | 37.0 | 0 days 00:01:19.225000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 366 | NOR | 38.0 | 0 days 00:01:19.307000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 367 | NOR | 39.0 | 0 days 00:01:19.215000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 368 | NOR | 40.0 | 0 days 00:01:19.745000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 369 | NOR | 41.0 | 0 days 00:01:18.911000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 370 | NOR | 42.0 | 0 days 00:01:19.511000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 371 | NOR | 43.0 | 0 days 00:01:19.499000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 372 | NOR | 44.0 | 0 days 00:01:19.457000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 373 | NOR | 45.0 | 0 days 00:01:18.754000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 374 | NOR | 46.0 | 0 days 00:01:19.419000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 375 | NOR | 47.0 | 0 days 00:01:22.986000 | MEDIUM | 1 | 2.0 | 0 days 02:00:14.798000 | NaT |
| 376 | NOR | 48.0 | 0 days 00:01:37.126000 | SOFT | 1 | 3.0 | NaT | 0 days 02:00:37.426000 |
| 377 | NOR | 49.0 | 0 days 00:01:17.377000 | SOFT | 1 | 3.0 | NaT | NaT |
| 378 | NOR | 50.0 | 0 days 00:01:17.940000 | SOFT | 1 | 3.0 | NaT | NaT |
| 379 | NOR | 51.0 | 0 days 00:01:17.115000 | SOFT | 1 | 3.0 | NaT | NaT |
| 380 | NOR | 52.0 | 0 days 00:01:17.654000 | SOFT | 1 | 3.0 | NaT | NaT |
| 381 | NOR | 53.0 | 0 days 00:01:17.914000 | SOFT | 1 | 3.0 | NaT | NaT |
| 382 | NOR | 54.0 | 0 days 00:01:17.987000 | SOFT | 1 | 3.0 | NaT | NaT |
| 383 | NOR | 55.0 | 0 days 00:01:18.363000 | SOFT | 1 | 3.0 | NaT | NaT |
| 384 | NOR | 56.0 | 0 days 00:01:17.627000 | SOFT | 1 | 3.0 | NaT | NaT |
| 385 | NOR | 57.0 | 0 days 00:01:17.893000 | SOFT | 1 | 3.0 | NaT | NaT |
| 386 | NOR | 58.0 | 0 days 00:01:18.259000 | SOFT | 1 | 3.0 | NaT | NaT |
| 387 | NOR | 59.0 | 0 days 00:01:17.945000 | SOFT | 1 | 3.0 | NaT | NaT |
| 388 | NOR | 60.0 | 0 days 00:01:18.271000 | SOFT | 1 | 3.0 | NaT | NaT |
| 389 | NOR | 61.0 | 0 days 00:01:17.805000 | SOFT | 1 | 3.0 | NaT | NaT |
| 390 | NOR | 62.0 | 0 days 00:01:18.080000 | SOFT | 1 | 3.0 | NaT | NaT |
| 391 | NOR | 63.0 | 0 days 00:01:18.174000 | SOFT | 1 | 3.0 | NaT | NaT |
| 392 | NOR | 64.0 | 0 days 00:01:18.282000 | SOFT | 1 | 3.0 | NaT | NaT |
| 393 | NOR | 65.0 | 0 days 00:01:18.773000 | SOFT | 1 | 3.0 | NaT | NaT |
| 394 | NOR | 66.0 | 0 days 00:01:19.682000 | SOFT | 1 | 3.0 | NaT | NaT |
| 395 | PIA | 1.0 | 0 days 00:01:27.073000 | SOFT | 1 | 1.0 | NaT | NaT |
| 396 | PIA | 2.0 | 0 days 00:01:21.607000 | SOFT | 1 | 1.0 | NaT | NaT |
| 397 | PIA | 3.0 | 0 days 00:01:20.765000 | SOFT | 1 | 1.0 | NaT | NaT |
| 398 | PIA | 4.0 | 0 days 00:01:20.797000 | SOFT | 1 | 1.0 | NaT | NaT |
| 399 | PIA | 5.0 | 0 days 00:01:21.215000 | SOFT | 1 | 1.0 | NaT | NaT |
| 400 | PIA | 6.0 | 0 days 00:01:21.056000 | SOFT | 1 | 1.0 | NaT | NaT |
| 401 | PIA | 7.0 | 0 days 00:01:21.416000 | SOFT | 1 | 1.0 | NaT | NaT |
| 402 | PIA | 8.0 | 0 days 00:01:21.530000 | SOFT | 1 | 1.0 | NaT | NaT |
| 403 | PIA | 9.0 | 0 days 00:01:21.500000 | SOFT | 1 | 1.0 | NaT | NaT |
| 404 | PIA | 10.0 | 0 days 00:01:22.049000 | SOFT | 1 | 1.0 | NaT | NaT |
| 405 | PIA | 11.0 | 0 days 00:01:21.486000 | SOFT | 1 | 1.0 | NaT | NaT |
| 406 | PIA | 12.0 | 0 days 00:01:21.683000 | SOFT | 1 | 1.0 | NaT | NaT |
| 407 | PIA | 13.0 | 0 days 00:01:21.918000 | SOFT | 1 | 1.0 | NaT | NaT |
| 408 | PIA | 14.0 | 0 days 00:01:22.316000 | SOFT | 1 | 1.0 | NaT | NaT |
| 409 | PIA | 15.0 | 0 days 00:01:21.492000 | SOFT | 1 | 1.0 | NaT | NaT |
| 410 | PIA | 16.0 | 0 days 00:01:21.532000 | SOFT | 1 | 1.0 | NaT | NaT |
| 411 | PIA | 17.0 | 0 days 00:01:21.853000 | SOFT | 1 | 1.0 | NaT | NaT |
| 412 | PIA | 18.0 | 0 days 00:01:21.505000 | SOFT | 1 | 1.0 | NaT | NaT |
| 413 | PIA | 19.0 | 0 days 00:01:21.727000 | SOFT | 1 | 1.0 | NaT | NaT |
| 414 | PIA | 20.0 | 0 days 00:01:21.883000 | SOFT | 1 | 1.0 | NaT | NaT |
| 415 | PIA | 21.0 | 0 days 00:01:27.064000 | SOFT | 1 | 1.0 | 0 days 01:25:38.146000 | NaT |
| 416 | PIA | 22.0 | 0 days 00:01:39.096000 | MEDIUM | 1 | 2.0 | NaT | 0 days 01:26:00.290000 |
| 417 | PIA | 23.0 | 0 days 00:01:19.833000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 418 | PIA | 24.0 | 0 days 00:01:19.991000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 419 | PIA | 25.0 | 0 days 00:01:19.731000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 420 | PIA | 26.0 | 0 days 00:01:19.853000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 421 | PIA | 27.0 | 0 days 00:01:20.231000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 422 | PIA | 28.0 | 0 days 00:01:20.626000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 423 | PIA | 29.0 | 0 days 00:01:19.823000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 424 | PIA | 30.0 | 0 days 00:01:20.010000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 425 | PIA | 31.0 | 0 days 00:01:19.875000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 426 | PIA | 32.0 | 0 days 00:01:20.425000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 427 | PIA | 33.0 | 0 days 00:01:20.543000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 428 | PIA | 34.0 | 0 days 00:01:19.656000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 429 | PIA | 35.0 | 0 days 00:01:19.796000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 430 | PIA | 36.0 | 0 days 00:01:19.728000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 431 | PIA | 37.0 | 0 days 00:01:19.661000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 432 | PIA | 38.0 | 0 days 00:01:19.785000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 433 | PIA | 39.0 | 0 days 00:01:19.780000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 434 | PIA | 40.0 | 0 days 00:01:19.659000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 435 | PIA | 41.0 | 0 days 00:01:19.622000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 436 | PIA | 42.0 | 0 days 00:01:19.930000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 437 | PIA | 43.0 | 0 days 00:01:20.150000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 438 | PIA | 44.0 | 0 days 00:01:19.925000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 439 | PIA | 45.0 | 0 days 00:01:20.667000 | MEDIUM | 1 | 2.0 | NaT | NaT |
| 440 | PIA | 46.0 | 0 days 00:01:24.084000 | MEDIUM | 1 | 2.0 | 0 days 01:59:20.559000 | NaT |
| 441 | PIA | 47.0 | 0 days 00:01:37.819000 | SOFT | 1 | 3.0 | NaT | 0 days 01:59:43.070000 |
| 442 | PIA | 48.0 | 0 days 00:01:19.317000 | SOFT | 1 | 3.0 | NaT | NaT |
| 443 | PIA | 49.0 | 0 days 00:01:18.159000 | SOFT | 1 | 3.0 | NaT | NaT |
| 444 | PIA | 50.0 | 0 days 00:01:18.257000 | SOFT | 1 | 3.0 | NaT | NaT |
| 445 | PIA | 51.0 | 0 days 00:01:18.181000 | SOFT | 1 | 3.0 | NaT | NaT |
| 446 | PIA | 52.0 | 0 days 00:01:18.492000 | SOFT | 1 | 3.0 | NaT | NaT |
| 447 | PIA | 53.0 | 0 days 00:01:18.223000 | SOFT | 1 | 3.0 | NaT | NaT |
| 448 | PIA | 54.0 | 0 days 00:01:18.354000 | SOFT | 1 | 3.0 | NaT | NaT |
| 449 | PIA | 55.0 | 0 days 00:01:17.941000 | SOFT | 1 | 3.0 | NaT | NaT |
| 450 | PIA | 56.0 | 0 days 00:01:17.874000 | SOFT | 1 | 3.0 | NaT | NaT |
| 451 | PIA | 57.0 | 0 days 00:01:18.293000 | SOFT | 1 | 3.0 | NaT | NaT |
| 452 | PIA | 58.0 | 0 days 00:01:18.483000 | SOFT | 1 | 3.0 | NaT | NaT |
| 453 | PIA | 59.0 | 0 days 00:01:18.337000 | SOFT | 1 | 3.0 | NaT | NaT |
| 454 | PIA | 60.0 | 0 days 00:01:18.129000 | SOFT | 1 | 3.0 | NaT | NaT |
| 455 | PIA | 61.0 | 0 days 00:01:17.977000 | SOFT | 1 | 3.0 | NaT | NaT |
| 456 | PIA | 62.0 | 0 days 00:01:18.186000 | SOFT | 1 | 3.0 | NaT | NaT |
| 457 | PIA | 63.0 | 0 days 00:01:18.587000 | SOFT | 1 | 3.0 | NaT | NaT |
| 458 | PIA | 64.0 | 0 days 00:01:18.840000 | SOFT | 1 | 3.0 | NaT | NaT |
| 459 | PIA | 65.0 | 0 days 00:01:19.297000 | SOFT | 1 | 3.0 | NaT | NaT |
| 460 | PIA | 66.0 | 0 days 00:01:19.294000 | SOFT | 1 | 3.0 | NaT | NaT |
In [12]:
def stint_summary(laps_df):
out = (laps_df
.groupby(['Driver','Stint', 'Compound'], as_index=False)
.agg(
Stint_Start_Lap = ('LapNumber', 'min'),
Stint_End_Lap = ('LapNumber', 'max'),
Stint_Laps = ('LapNumber', 'count'),
Avg_LapTime_s = ('LapTime', lambda x: x.dt.total_seconds().mean()),
Pace_Drop_s = ('LapTime',
lambda x: x.dt.total_seconds().iloc[-1] -
x.dt.total_seconds().iloc[0])
))
return out
stint_perf = stint_summary(session.laps)
stint_perf
Out[12]:
| Driver | Stint | Compound | Stint_Start_Lap | Stint_End_Lap | Stint_Laps | Avg_LapTime_s | Pace_Drop_s | |
|---|---|---|---|---|---|---|---|---|
| 0 | ALB | 1.0 | MEDIUM | 1.0 | 18.0 | 18 | 83.545944 | -7.082 |
| 1 | ALB | 2.0 | SOFT | 19.0 | 43.0 | 25 | 82.342480 | -14.300 |
| 2 | ALB | 3.0 | SOFT | 44.0 | 65.0 | 22 | 81.635773 | -17.105 |
| 3 | ALO | 1.0 | SOFT | 1.0 | 19.0 | 19 | 82.844368 | -3.892 |
| 4 | ALO | 2.0 | MEDIUM | 20.0 | 45.0 | 26 | 81.875577 | -14.697 |
| 5 | ALO | 3.0 | HARD | 46.0 | 65.0 | 20 | 80.345800 | -18.565 |
| 6 | BOT | 1.0 | SOFT | 1.0 | 11.0 | 11 | 83.351727 | -4.659 |
| 7 | BOT | 2.0 | SOFT | 12.0 | 28.0 | 17 | 82.934882 | -13.634 |
| 8 | BOT | 3.0 | HARD | 29.0 | 65.0 | 37 | 81.804811 | -18.190 |
| 9 | GAS | 1.0 | SOFT | 1.0 | 14.0 | 14 | 82.015714 | -1.093 |
| 10 | GAS | 2.0 | MEDIUM | 15.0 | 38.0 | 24 | 81.935375 | -17.243 |
| 11 | GAS | 3.0 | HARD | 39.0 | 66.0 | 28 | 80.270821 | -15.695 |
| 12 | HAM | 1.0 | SOFT | 1.0 | 16.0 | 16 | 81.640062 | 0.525 |
| 13 | HAM | 2.0 | MEDIUM | 17.0 | 43.0 | 27 | 80.881667 | -14.183 |
| 14 | HAM | 3.0 | SOFT | 44.0 | 66.0 | 23 | 79.477000 | -16.153 |
| 15 | HUL | 1.0 | SOFT | 1.0 | 12.0 | 12 | 82.773333 | -0.493 |
| 16 | HUL | 2.0 | MEDIUM | 13.0 | 38.0 | 26 | 82.042154 | -15.853 |
| 17 | HUL | 3.0 | HARD | 39.0 | 66.0 | 28 | 80.288071 | -18.328 |
| 18 | LEC | 1.0 | SOFT | 1.0 | 24.0 | 24 | 81.575667 | -0.086 |
| 19 | LEC | 2.0 | MEDIUM | 25.0 | 47.0 | 23 | 80.657913 | -14.701 |
| 20 | LEC | 3.0 | SOFT | 48.0 | 66.0 | 19 | 79.473053 | -18.106 |
| 21 | MAG | 1.0 | SOFT | 1.0 | 10.0 | 10 | 83.664600 | -4.549 |
| 22 | MAG | 2.0 | MEDIUM | 11.0 | 29.0 | 19 | 82.865684 | -15.190 |
| 23 | MAG | 3.0 | HARD | 30.0 | 65.0 | 36 | 81.775583 | -25.997 |
| 24 | NOR | 1.0 | SOFT | 1.0 | 23.0 | 23 | 81.303217 | 1.232 |
| 25 | NOR | 2.0 | MEDIUM | 24.0 | 47.0 | 24 | 80.425208 | -14.687 |
| 26 | NOR | 3.0 | SOFT | 48.0 | 66.0 | 19 | 79.066684 | -17.444 |
| 27 | OCO | 1.0 | SOFT | 1.0 | 13.0 | 13 | 82.442846 | -0.773 |
| 28 | OCO | 2.0 | MEDIUM | 14.0 | 37.0 | 24 | 82.112750 | -13.148 |
| 29 | OCO | 3.0 | HARD | 38.0 | 66.0 | 29 | 80.332862 | -17.009 |
| 30 | PER | 1.0 | SOFT | 1.0 | 13.0 | 13 | 82.610769 | -3.029 |
| 31 | PER | 2.0 | SOFT | 14.0 | 31.0 | 18 | 82.123167 | -13.748 |
| 32 | PER | 3.0 | MEDIUM | 32.0 | 49.0 | 18 | 80.507667 | -13.288 |
| 33 | PER | 4.0 | SOFT | 50.0 | 66.0 | 17 | 79.909176 | -17.839 |
| 34 | PIA | 1.0 | SOFT | 1.0 | 21.0 | 21 | 82.069857 | -0.009 |
| 35 | PIA | 2.0 | MEDIUM | 22.0 | 46.0 | 25 | 80.899200 | -15.012 |
| 36 | PIA | 3.0 | SOFT | 47.0 | 66.0 | 20 | 79.402000 | -18.525 |
| 37 | RIC | 1.0 | SOFT | 1.0 | 16.0 | 16 | 83.294313 | -5.489 |
| 38 | RIC | 2.0 | MEDIUM | 17.0 | 42.0 | 26 | 82.211192 | -15.112 |
| 39 | RIC | 3.0 | HARD | 43.0 | 65.0 | 23 | 81.481609 | -21.846 |
| 40 | RUS | 1.0 | SOFT | 1.0 | 15.0 | 15 | 81.482467 | 2.796 |
| 41 | RUS | 2.0 | MEDIUM | 16.0 | 36.0 | 21 | 81.330286 | -15.868 |
| 42 | RUS | 3.0 | HARD | 37.0 | 66.0 | 30 | 79.745800 | -19.600 |
| 43 | SAI | 1.0 | SOFT | 1.0 | 15.0 | 15 | 81.698867 | -0.658 |
| 44 | SAI | 2.0 | MEDIUM | 16.0 | 36.0 | 21 | 81.357524 | -14.331 |
| 45 | SAI | 3.0 | HARD | 37.0 | 66.0 | 30 | 79.908800 | -18.949 |
| 46 | SAR | 1.0 | SOFT | 1.0 | 14.0 | 14 | 83.827071 | -5.128 |
| 47 | SAR | 2.0 | MEDIUM | 15.0 | 34.0 | 20 | 83.182300 | -13.794 |
| 48 | SAR | 3.0 | HARD | 35.0 | 64.0 | 30 | 82.262267 | -15.392 |
| 49 | STR | 1.0 | SOFT | 1.0 | 17.0 | 17 | 82.826235 | -2.710 |
| 50 | STR | 2.0 | MEDIUM | 18.0 | 37.0 | 20 | 82.362950 | -13.921 |
| 51 | STR | 3.0 | HARD | 38.0 | 65.0 | 28 | 81.077643 | -17.054 |
| 52 | TSU | 1.0 | SOFT | 1.0 | 9.0 | 9 | 84.135778 | -4.320 |
| 53 | TSU | 2.0 | MEDIUM | 10.0 | 27.0 | 18 | 83.118167 | -13.305 |
| 54 | TSU | 3.0 | HARD | 28.0 | 44.0 | 17 | 82.419471 | -13.351 |
| 55 | TSU | 4.0 | SOFT | 45.0 | 65.0 | 21 | 81.411952 | -20.552 |
| 56 | VER | 1.0 | SOFT | 1.0 | 17.0 | 17 | 81.189353 | 1.690 |
| 57 | VER | 2.0 | MEDIUM | 18.0 | 44.0 | 27 | 80.668037 | -14.230 |
| 58 | VER | 3.0 | SOFT | 45.0 | 66.0 | 22 | 79.180500 | -17.279 |
| 59 | ZHO | 1.0 | SOFT | 1.0 | 9.0 | 9 | 83.961000 | -5.163 |
| 60 | ZHO | 2.0 | MEDIUM | 10.0 | 41.0 | 32 | 82.007969 | -12.680 |
| 61 | ZHO | 3.0 | HARD | 42.0 | 65.0 | 24 | 80.658292 | -20.923 |
In [13]:
driver_names = {
drv: session.get_driver(drv)["FullName"]
for drv in drivers
}
# Collect pit stop info
pitstop_data = []
for drv_code in session.drivers:
dlaps = session.laps.pick_drivers(drv_code)
box_laps = dlaps.pick_box_laps().sort_values("LapNumber")
all_laps = session.laps
clean_laps = all_laps[all_laps["PitInTime"].isnull() & all_laps["PitOutTime"].isnull()]
avg_lap_time = clean_laps["LapTime"].dt.total_seconds().median()
# Collect pit stop data
pitstop_data = []
for drv_code in drivers:
dlaps = session.laps.pick_drivers(drv_code)
box_laps = dlaps.pick_box_laps().sort_values("LapNumber")
entry_time, entry_lap = None, None
for _, lap in box_laps.iterrows(): # Fixed: removed asterisk
if pd.notnull(lap["PitInTime"]):
entry_time = lap["PitInTime"]
entry_lap = lap["LapNumber"]
if entry_time is not None and pd.notnull(lap["PitOutTime"]):
exit_time = lap["PitOutTime"]
duration = (exit_time - entry_time).total_seconds()
lap_time_s = lap["LapTime"].total_seconds() if pd.notnull(lap["LapTime"]) else None
# Fixed: proper indentation
time_lost = None
if lap_time_s is not None and avg_lap_time is not None:
time_lost = lap_time_s - avg_lap_time
pitstop_data.append({
"DriverCode": drv_code,
"Driver": driver_names[drv_code],
"EntryLap": entry_lap,
"PitInTime": entry_time,
"PitOutTime": exit_time,
"StintAfter": lap["Stint"],
"Pit_Duration_s": round(duration, 2),
"LapTime_s": round(lap_time_s, 3) if lap_time_s is not None else None,
"AvgRaceLap_s": round(avg_lap_time, 3) if avg_lap_time is not None else None,
"TimeLost_s": round(time_lost, 3) if time_lost is not None else None
})
entry_time, entry_lap = None, None
# Create DataFrame
pit_df = pd.DataFrame(pitstop_data)
pit_df
Out[13]:
| DriverCode | Driver | EntryLap | PitInTime | PitOutTime | StintAfter | Pit_Duration_s | LapTime_s | AvgRaceLap_s | TimeLost_s | |
|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | Max Verstappen | 17.0 | 0 days 01:19:54.894000 | 0 days 01:20:16.487000 | 2.0 | 21.59 | 97.657 | 80.744 | 16.913 |
| 1 | 1 | Max Verstappen | 44.0 | 0 days 01:56:12.895000 | 0 days 01:56:35.276000 | 3.0 | 22.38 | 97.053 | 80.744 | 16.309 |
| 2 | 4 | Lando Norris | 23.0 | 0 days 01:28:04.732000 | 0 days 01:28:26.174000 | 2.0 | 21.44 | 97.673 | 80.744 | 16.929 |
| 3 | 4 | Lando Norris | 47.0 | 0 days 02:00:14.798000 | 0 days 02:00:37.426000 | 3.0 | 22.63 | 97.126 | 80.744 | 16.382 |
| 4 | 44 | Lewis Hamilton | 16.0 | 0 days 01:18:40.850000 | 0 days 01:19:02.820000 | 2.0 | 21.97 | 98.332 | 80.744 | 17.588 |
| 5 | 44 | Lewis Hamilton | 43.0 | 0 days 01:55:04.969000 | 0 days 01:55:26.245000 | 3.0 | 21.28 | 96.194 | 80.744 | 15.450 |
| 6 | 63 | George Russell | 15.0 | 0 days 01:17:16.960000 | 0 days 01:17:41.885000 | 2.0 | 24.93 | 100.240 | 80.744 | 19.496 |
| 7 | 63 | George Russell | 36.0 | 0 days 01:45:44.829000 | 0 days 01:46:07.602000 | 3.0 | 22.77 | 99.351 | 80.744 | 18.607 |
| 8 | 16 | Charles Leclerc | 24.0 | 0 days 01:29:32.468000 | 0 days 01:29:54.744000 | 2.0 | 22.28 | 98.462 | 80.744 | 17.718 |
| 9 | 16 | Charles Leclerc | 47.0 | 0 days 02:00:27.622000 | 0 days 02:00:49.211000 | 3.0 | 21.59 | 97.516 | 80.744 | 16.772 |
| 10 | 55 | Carlos Sainz | 15.0 | 0 days 01:17:19.923000 | 0 days 01:17:42.233000 | 2.0 | 22.31 | 98.064 | 80.744 | 17.320 |
| 11 | 55 | Carlos Sainz | 36.0 | 0 days 01:45:48.748000 | 0 days 01:46:10.881000 | 3.0 | 22.13 | 98.592 | 80.744 | 17.848 |
| 12 | 81 | Oscar Piastri | 21.0 | 0 days 01:25:38.146000 | 0 days 01:26:00.290000 | 2.0 | 22.14 | 99.096 | 80.744 | 18.352 |
| 13 | 81 | Oscar Piastri | 46.0 | 0 days 01:59:20.559000 | 0 days 01:59:43.070000 | 3.0 | 22.51 | 97.819 | 80.744 | 17.075 |
| 14 | 11 | Sergio Perez | 13.0 | 0 days 01:14:48.600000 | 0 days 01:15:10.785000 | 2.0 | 22.18 | 99.168 | 80.744 | 18.424 |
| 15 | 11 | Sergio Perez | 31.0 | 0 days 01:39:26.906000 | 0 days 01:39:48.261000 | 3.0 | 21.36 | 96.491 | 80.744 | 15.747 |
| 16 | 11 | Sergio Perez | 49.0 | 0 days 02:03:36.017000 | 0 days 02:03:57.454000 | 4.0 | 21.44 | 96.990 | 80.744 | 16.246 |
| 17 | 10 | Pierre Gasly | 14.0 | 0 days 01:16:02.853000 | 0 days 01:16:28.953000 | 2.0 | 26.10 | 102.656 | 80.744 | 21.912 |
| 18 | 10 | Pierre Gasly | 38.0 | 0 days 01:48:49.378000 | 0 days 01:49:10.993000 | 3.0 | 21.61 | 97.749 | 80.744 | 17.005 |
| 19 | 31 | Esteban Ocon | 13.0 | 0 days 01:14:46.447000 | 0 days 01:15:08.306000 | 2.0 | 21.86 | 98.526 | 80.744 | 17.782 |
| 20 | 31 | Esteban Ocon | 37.0 | 0 days 01:47:37.079000 | 0 days 01:47:59.081000 | 3.0 | 22.00 | 97.672 | 80.744 | 16.928 |
| 21 | 27 | Nico Hulkenberg | 12.0 | 0 days 01:13:27.959000 | 0 days 01:13:50.605000 | 2.0 | 22.65 | 100.395 | 80.744 | 19.651 |
| 22 | 27 | Nico Hulkenberg | 38.0 | 0 days 01:49:01.084000 | 0 days 01:49:23.628000 | 3.0 | 22.54 | 99.454 | 80.744 | 18.710 |
| 23 | 14 | Fernando Alonso | 19.0 | 0 days 01:23:08.727000 | 0 days 01:23:30.618000 | 2.0 | 21.89 | 98.729 | 80.744 | 17.985 |
| 24 | 14 | Fernando Alonso | 45.0 | 0 days 01:58:37.626000 | 0 days 01:59:00.092000 | 3.0 | 22.47 | 98.308 | 80.744 | 17.564 |
| 25 | 24 | Guanyu Zhou | 9.0 | 0 days 01:09:30.287000 | 0 days 01:09:52.752000 | 2.0 | 22.46 | 98.315 | 80.744 | 17.571 |
| 26 | 24 | Guanyu Zhou | 41.0 | 0 days 01:53:14.586000 | 0 days 01:53:38.831000 | 3.0 | 24.25 | 101.908 | 80.744 | 21.164 |
| 27 | 18 | Lance Stroll | 17.0 | 0 days 01:20:22.791000 | 0 days 01:20:44.583000 | 2.0 | 21.79 | 99.122 | 80.744 | 18.378 |
| 28 | 18 | Lance Stroll | 37.0 | 0 days 01:47:49.972000 | 0 days 01:48:13.366000 | 3.0 | 23.39 | 100.958 | 80.744 | 20.214 |
| 29 | 3 | Daniel Ricciardo | 16.0 | 0 days 01:19:07.482000 | 0 days 01:19:29.735000 | 2.0 | 22.25 | 100.003 | 80.744 | 19.259 |
| 30 | 3 | Daniel Ricciardo | 42.0 | 0 days 01:54:44.918000 | 0 days 01:55:07.058000 | 3.0 | 22.14 | 101.373 | 80.744 | 20.629 |
| 31 | 77 | Valtteri Bottas | 11.0 | 0 days 01:12:11.535000 | 0 days 01:12:34.282000 | 2.0 | 22.75 | 99.211 | 80.744 | 18.467 |
| 32 | 77 | Valtteri Bottas | 28.0 | 0 days 01:35:41.364000 | 0 days 01:36:04.446000 | 3.0 | 23.08 | 99.622 | 80.744 | 18.878 |
| 33 | 20 | Kevin Magnussen | 10.0 | 0 days 01:10:51.292000 | 0 days 01:11:14.678000 | 2.0 | 23.39 | 100.571 | 80.744 | 19.827 |
| 34 | 20 | Kevin Magnussen | 29.0 | 0 days 01:37:05.979000 | 0 days 01:37:34.733000 | 3.0 | 28.75 | 107.447 | 80.744 | 26.703 |
| 35 | 23 | Alexander Albon | 18.0 | 0 days 01:21:58.483000 | 0 days 01:22:21.666000 | 2.0 | 23.18 | 100.225 | 80.744 | 19.481 |
| 36 | 23 | Alexander Albon | 43.0 | 0 days 01:56:17.090000 | 0 days 01:56:38.873000 | 3.0 | 21.78 | 97.415 | 80.744 | 16.671 |
| 37 | 22 | Yuki Tsunoda | 9.0 | 0 days 01:09:31.918000 | 0 days 01:09:53.921000 | 2.0 | 22.00 | 98.886 | 80.744 | 18.142 |
| 38 | 22 | Yuki Tsunoda | 27.0 | 0 days 01:34:28.068000 | 0 days 01:34:50.136000 | 3.0 | 22.07 | 99.737 | 80.744 | 18.993 |
| 39 | 22 | Yuki Tsunoda | 44.0 | 0 days 01:57:49.142000 | 0 days 01:58:11.690000 | 4.0 | 22.55 | 101.067 | 80.744 | 20.323 |
| 40 | 2 | Logan Sargeant | 14.0 | 0 days 01:16:28.180000 | 0 days 01:16:50.594000 | 2.0 | 22.41 | 99.619 | 80.744 | 18.875 |
| 41 | 2 | Logan Sargeant | 34.0 | 0 days 01:44:11.921000 | 0 days 01:44:34.356000 | 3.0 | 22.43 | 100.595 | 80.744 | 19.851 |
In [14]:
weather = session.weather_data.copy()
weather
Out[14]:
| Time | AirTemp | Humidity | Pressure | Rainfall | TrackTemp | WindDirection | WindSpeed | |
|---|---|---|---|---|---|---|---|---|
| 0 | 0 days 00:00:20.654000 | 23.9 | 63.0 | 1001.8 | False | 39.1 | 244 | 2.7 |
| 1 | 0 days 00:01:20.653000 | 23.9 | 62.0 | 1001.7 | False | 39.1 | 246 | 2.4 |
| 2 | 0 days 00:02:20.657000 | 23.9 | 63.0 | 1001.8 | False | 39.9 | 237 | 2.7 |
| 3 | 0 days 00:03:20.675000 | 24.3 | 63.0 | 1001.7 | False | 40.1 | 238 | 3.6 |
| 4 | 0 days 00:04:20.663000 | 24.3 | 63.0 | 1001.8 | False | 40.1 | 240 | 3.1 |
| 5 | 0 days 00:05:20.658000 | 24.2 | 62.0 | 1001.7 | False | 40.1 | 235 | 4.3 |
| 6 | 0 days 00:06:20.668000 | 24.4 | 63.0 | 1001.7 | False | 40.1 | 230 | 3.3 |
| 7 | 0 days 00:07:20.679000 | 24.4 | 64.0 | 1001.7 | False | 40.1 | 263 | 2.8 |
| 8 | 0 days 00:08:20.678000 | 24.3 | 63.0 | 1001.7 | False | 40.2 | 271 | 2.9 |
| 9 | 0 days 00:09:20.696000 | 24.1 | 63.0 | 1001.7 | False | 40.2 | 234 | 2.7 |
| 10 | 0 days 00:10:20.687000 | 24.1 | 64.0 | 1001.7 | False | 40.4 | 244 | 3.0 |
| 11 | 0 days 00:11:20.704000 | 24.2 | 63.0 | 1001.7 | False | 40.8 | 257 | 2.4 |
| 12 | 0 days 00:12:20.687000 | 24.3 | 64.0 | 1001.7 | False | 40.8 | 250 | 2.7 |
| 13 | 0 days 00:13:20.710000 | 24.2 | 64.0 | 1001.7 | False | 40.8 | 234 | 3.4 |
| 14 | 0 days 00:14:20.732000 | 24.2 | 64.0 | 1001.7 | False | 41.7 | 242 | 3.7 |
| 15 | 0 days 00:15:20.729000 | 24.1 | 64.0 | 1001.6 | False | 41.2 | 249 | 2.8 |
| 16 | 0 days 00:16:20.744000 | 24.2 | 65.0 | 1001.5 | False | 40.9 | 234 | 3.5 |
| 17 | 0 days 00:17:20.749000 | 24.2 | 65.0 | 1001.5 | False | 40.7 | 235 | 3.6 |
| 18 | 0 days 00:18:20.746000 | 24.2 | 65.0 | 1001.5 | False | 40.7 | 233 | 3.6 |
| 19 | 0 days 00:19:20.748000 | 24.3 | 66.0 | 1001.6 | False | 41.0 | 251 | 3.0 |
| 20 | 0 days 00:20:20.767000 | 24.3 | 64.0 | 1001.6 | False | 41.0 | 256 | 3.6 |
| 21 | 0 days 00:21:20.763000 | 24.2 | 66.0 | 1001.6 | False | 40.6 | 255 | 2.9 |
| 22 | 0 days 00:22:20.749000 | 24.3 | 65.0 | 1001.6 | False | 40.6 | 244 | 3.7 |
| 23 | 0 days 00:23:20.766000 | 24.2 | 65.0 | 1001.6 | False | 40.4 | 238 | 3.7 |
| 24 | 0 days 00:24:20.769000 | 24.1 | 64.0 | 1001.6 | False | 40.4 | 257 | 3.1 |
| 25 | 0 days 00:25:20.789000 | 24.0 | 63.0 | 1001.7 | False | 40.3 | 250 | 3.1 |
| 26 | 0 days 00:26:20.809000 | 24.0 | 64.0 | 1001.6 | False | 40.5 | 219 | 3.1 |
| 27 | 0 days 00:27:20.801000 | 24.2 | 66.0 | 1001.6 | False | 40.9 | 217 | 2.2 |
| 28 | 0 days 00:28:20.800000 | 24.3 | 65.0 | 1001.6 | False | 40.9 | 248 | 3.8 |
| 29 | 0 days 00:29:20.797000 | 24.2 | 64.0 | 1001.6 | False | 40.4 | 245 | 3.6 |
| 30 | 0 days 00:30:20.808000 | 24.0 | 66.0 | 1001.6 | False | 40.3 | 236 | 3.7 |
| 31 | 0 days 00:31:20.824000 | 24.0 | 66.0 | 1001.6 | False | 41.3 | 243 | 2.2 |
| 32 | 0 days 00:32:20.825000 | 24.0 | 65.0 | 1001.6 | False | 41.3 | 259 | 4.5 |
| 33 | 0 days 00:33:20.838000 | 24.0 | 65.0 | 1001.6 | False | 40.5 | 232 | 3.9 |
| 34 | 0 days 00:34:20.844000 | 24.0 | 65.0 | 1001.5 | False | 40.5 | 234 | 3.5 |
| 35 | 0 days 00:35:20.834000 | 23.9 | 65.0 | 1001.5 | False | 41.5 | 247 | 3.0 |
| 36 | 0 days 00:36:20.843000 | 24.0 | 64.0 | 1001.5 | False | 41.6 | 233 | 3.5 |
| 37 | 0 days 00:37:20.837000 | 24.0 | 64.0 | 1001.5 | False | 41.3 | 242 | 3.7 |
| 38 | 0 days 00:38:20.844000 | 24.0 | 65.0 | 1001.5 | False | 41.3 | 244 | 2.7 |
| 39 | 0 days 00:39:20.838000 | 24.1 | 65.0 | 1001.5 | False | 41.4 | 231 | 2.6 |
| 40 | 0 days 00:40:20.850000 | 24.0 | 65.0 | 1001.5 | False | 41.5 | 230 | 2.2 |
| 41 | 0 days 00:41:20.844000 | 24.0 | 65.0 | 1001.5 | False | 41.8 | 218 | 2.4 |
| 42 | 0 days 00:42:20.838000 | 24.0 | 64.0 | 1001.4 | False | 41.8 | 227 | 2.2 |
| 43 | 0 days 00:43:20.845000 | 23.9 | 65.0 | 1001.4 | False | 41.8 | 245 | 2.8 |
| 44 | 0 days 00:44:20.848000 | 23.8 | 64.0 | 1001.4 | False | 42.0 | 213 | 3.3 |
| 45 | 0 days 00:45:20.842000 | 24.1 | 64.0 | 1001.4 | False | 41.8 | 232 | 3.0 |
| 46 | 0 days 00:46:20.840000 | 24.1 | 65.0 | 1001.4 | False | 42.1 | 237 | 3.3 |
| 47 | 0 days 00:47:20.852000 | 24.1 | 66.0 | 1001.3 | False | 42.0 | 247 | 2.2 |
| 48 | 0 days 00:48:20.851000 | 24.2 | 65.0 | 1001.3 | False | 41.8 | 232 | 2.6 |
| 49 | 0 days 00:49:20.852000 | 24.3 | 66.0 | 1001.5 | False | 41.8 | 239 | 2.4 |
| 50 | 0 days 00:50:20.850000 | 24.4 | 63.0 | 1001.4 | False | 41.8 | 206 | 2.2 |
| 51 | 0 days 00:51:20.842000 | 24.4 | 64.0 | 1001.4 | False | 42.2 | 268 | 1.6 |
| 52 | 0 days 00:52:20.849000 | 24.4 | 64.0 | 1001.4 | False | 42.4 | 253 | 3.0 |
| 53 | 0 days 00:53:20.844000 | 24.4 | 64.0 | 1001.3 | False | 42.4 | 241 | 3.1 |
| 54 | 0 days 00:54:20.854000 | 24.4 | 65.0 | 1001.3 | False | 42.1 | 239 | 3.0 |
| 55 | 0 days 00:55:20.843000 | 24.3 | 66.0 | 1001.3 | False | 40.6 | 247 | 3.3 |
| 56 | 0 days 00:56:20.845000 | 24.3 | 66.0 | 1001.4 | False | 40.6 | 244 | 3.2 |
| 57 | 0 days 00:57:20.846000 | 24.3 | 66.0 | 1001.3 | False | 40.9 | 238 | 3.8 |
| 58 | 0 days 00:58:20.874000 | 24.2 | 67.0 | 1001.3 | False | 40.2 | 242 | 2.9 |
| 59 | 0 days 00:59:20.868000 | 24.2 | 67.0 | 1001.3 | False | 39.8 | 222 | 2.6 |
| 60 | 0 days 01:00:20.889000 | 24.1 | 67.0 | 1001.4 | True | 38.7 | 150 | 3.2 |
| 61 | 0 days 01:01:20.906000 | 24.1 | 67.0 | 1001.3 | False | 38.3 | 246 | 2.3 |
| 62 | 0 days 01:02:20.912000 | 24.1 | 68.0 | 1001.4 | False | 39.5 | 215 | 1.7 |
| 63 | 0 days 01:03:20.911000 | 23.9 | 67.0 | 1001.3 | False | 40.6 | 234 | 3.4 |
| 64 | 0 days 01:04:20.936000 | 23.9 | 67.0 | 1001.3 | False | 41.4 | 218 | 2.2 |
| 65 | 0 days 01:05:20.932000 | 24.0 | 67.0 | 1001.3 | False | 41.4 | 244 | 2.3 |
| 66 | 0 days 01:06:20.942000 | 24.1 | 68.0 | 1001.2 | False | 41.4 | 224 | 1.5 |
| 67 | 0 days 01:07:20.957000 | 24.3 | 66.0 | 1001.4 | False | 42.4 | 214 | 1.4 |
| 68 | 0 days 01:08:20.961000 | 24.3 | 65.0 | 1001.3 | False | 42.5 | 230 | 2.0 |
| 69 | 0 days 01:09:20.952000 | 24.2 | 65.0 | 1001.3 | False | 42.5 | 247 | 1.7 |
| 70 | 0 days 01:10:20.958000 | 24.1 | 64.0 | 1001.3 | False | 42.4 | 99 | 2.3 |
| 71 | 0 days 01:11:20.962000 | 24.1 | 64.0 | 1001.2 | False | 42.3 | 254 | 1.8 |
| 72 | 0 days 01:12:20.978000 | 24.2 | 64.0 | 1001.3 | False | 41.8 | 233 | 1.9 |
| 73 | 0 days 01:13:20.972000 | 24.3 | 65.0 | 1001.3 | False | 41.6 | 256 | 1.9 |
| 74 | 0 days 01:14:20.992000 | 24.4 | 64.0 | 1001.3 | False | 41.6 | 70 | 1.8 |
| 75 | 0 days 01:15:20.982000 | 24.4 | 64.0 | 1001.3 | False | 42.3 | 211 | 1.3 |
| 76 | 0 days 01:16:20.993000 | 24.3 | 64.0 | 1001.2 | False | 42.4 | 232 | 1.3 |
| 77 | 0 days 01:17:20.984000 | 24.3 | 63.0 | 1001.2 | False | 42.3 | 264 | 1.7 |
| 78 | 0 days 01:18:21.009000 | 24.4 | 63.0 | 1001.3 | False | 41.7 | 256 | 1.3 |
| 79 | 0 days 01:19:21.011000 | 24.6 | 62.0 | 1001.3 | False | 41.0 | 284 | 1.9 |
| 80 | 0 days 01:20:21.005000 | 24.7 | 62.0 | 1001.3 | False | 40.6 | 233 | 1.4 |
| 81 | 0 days 01:21:21.019000 | 24.7 | 62.0 | 1001.3 | False | 39.9 | 277 | 2.2 |
| 82 | 0 days 01:22:21.047000 | 24.3 | 62.0 | 1001.2 | False | 39.2 | 196 | 1.9 |
| 83 | 0 days 01:23:21.047000 | 24.1 | 65.0 | 1001.2 | False | 39.2 | 99 | 1.2 |
| 84 | 0 days 01:24:21.062000 | 24.0 | 64.0 | 1001.3 | False | 39.3 | 217 | 1.6 |
| 85 | 0 days 01:25:21.081000 | 23.9 | 63.0 | 1001.4 | False | 39.7 | 232 | 1.2 |
| 86 | 0 days 01:26:21.083000 | 23.9 | 63.0 | 1001.3 | False | 40.5 | 236 | 1.2 |
| 87 | 0 days 01:27:21.113000 | 23.7 | 64.0 | 1001.2 | False | 41.3 | 40 | 1.5 |
| 88 | 0 days 01:28:21.124000 | 23.8 | 62.0 | 1001.3 | False | 42.7 | 107 | 0.7 |
| 89 | 0 days 01:29:21.130000 | 24.0 | 62.0 | 1001.3 | False | 42.3 | 137 | 2.5 |
| 90 | 0 days 01:30:21.129000 | 24.0 | 62.0 | 1001.2 | False | 41.5 | 106 | 1.1 |
| 91 | 0 days 01:31:21.130000 | 24.0 | 62.0 | 1001.3 | False | 41.5 | 0 | 1.5 |
| 92 | 0 days 01:32:21.133000 | 24.0 | 62.0 | 1001.3 | False | 42.0 | 114 | 1.4 |
| 93 | 0 days 01:33:21.130000 | 24.1 | 61.0 | 1001.3 | False | 41.5 | 246 | 1.4 |
| 94 | 0 days 01:34:21.147000 | 24.2 | 62.0 | 1001.3 | False | 42.0 | 197 | 0.7 |
| 95 | 0 days 01:35:21.144000 | 24.2 | 62.0 | 1001.3 | False | 42.6 | 123 | 0.7 |
| 96 | 0 days 01:36:21.170000 | 24.2 | 61.0 | 1001.3 | False | 43.0 | 255 | 2.5 |
| 97 | 0 days 01:37:21.180000 | 24.3 | 62.0 | 1001.4 | False | 42.7 | 182 | 1.6 |
| 98 | 0 days 01:38:21.182000 | 24.3 | 61.0 | 1001.1 | False | 42.7 | 226 | 1.5 |
| 99 | 0 days 01:39:21.184000 | 24.1 | 61.0 | 1001.2 | False | 41.8 | 70 | 1.4 |
| 100 | 0 days 01:40:21.195000 | 24.3 | 61.0 | 1001.3 | False | 41.4 | 123 | 1.4 |
| 101 | 0 days 01:41:21.196000 | 24.4 | 61.0 | 1001.3 | False | 40.6 | 0 | 1.1 |
| 102 | 0 days 01:42:21.200000 | 24.4 | 62.0 | 1001.4 | False | 40.6 | 198 | 0.7 |
| 103 | 0 days 01:43:21.201000 | 24.3 | 62.0 | 1001.4 | False | 40.1 | 0 | 0.5 |
| 104 | 0 days 01:44:21.204000 | 24.3 | 62.0 | 1001.4 | False | 40.1 | 0 | 0.5 |
| 105 | 0 days 01:45:21.219000 | 24.1 | 62.0 | 1001.4 | False | 40.2 | 0 | 1.3 |
| 106 | 0 days 01:46:21.223000 | 24.0 | 63.0 | 1001.5 | False | 40.9 | 264 | 1.4 |
| 107 | 0 days 01:47:21.223000 | 24.1 | 62.0 | 1001.3 | False | 41.5 | 177 | 1.6 |
| 108 | 0 days 01:48:21.235000 | 24.1 | 62.0 | 1001.4 | False | 41.5 | 43 | 1.1 |
| 109 | 0 days 01:49:21.245000 | 24.1 | 61.0 | 1001.2 | False | 41.2 | 134 | 0.8 |
| 110 | 0 days 01:50:21.243000 | 24.1 | 62.0 | 1001.3 | False | 39.8 | 90 | 1.2 |
| 111 | 0 days 01:51:21.250000 | 24.0 | 62.0 | 1001.3 | False | 39.5 | 173 | 1.4 |
| 112 | 0 days 01:52:21.400000 | 24.0 | 64.0 | 1001.2 | False | 39.7 | 265 | 1.5 |
| 113 | 0 days 01:53:21.392000 | 23.9 | 64.0 | 1001.2 | False | 39.7 | 259 | 1.5 |
| 114 | 0 days 01:54:21.397000 | 23.9 | 63.0 | 1001.2 | False | 39.5 | 238 | 0.7 |
| 115 | 0 days 01:55:21.396000 | 23.9 | 63.0 | 1001.3 | False | 39.5 | 250 | 1.0 |
| 116 | 0 days 01:56:21.400000 | 23.9 | 64.0 | 1001.2 | False | 40.0 | 165 | 1.6 |
| 117 | 0 days 01:57:21.399000 | 23.8 | 64.0 | 1001.2 | False | 41.0 | 224 | 1.1 |
| 118 | 0 days 01:58:21.399000 | 23.9 | 64.0 | 1001.2 | False | 41.1 | 291 | 1.3 |
| 119 | 0 days 01:59:21.401000 | 24.1 | 62.0 | 1001.2 | False | 42.5 | 238 | 0.8 |
| 120 | 0 days 02:00:21.399000 | 24.1 | 61.0 | 1001.1 | False | 42.7 | 169 | 2.1 |
| 121 | 0 days 02:01:21.403000 | 24.1 | 61.0 | 1001.2 | False | 42.7 | 279 | 1.2 |
| 122 | 0 days 02:02:21.398000 | 24.3 | 61.0 | 1001.2 | False | 41.9 | 241 | 2.4 |
| 123 | 0 days 02:03:21.398000 | 24.2 | 61.0 | 1001.2 | False | 41.9 | 225 | 2.5 |
| 124 | 0 days 02:04:21.396000 | 24.1 | 62.0 | 1001.2 | False | 41.9 | 251 | 2.6 |
| 125 | 0 days 02:05:21.404000 | 24.1 | 62.0 | 1001.3 | False | 42.2 | 195 | 1.9 |
| 126 | 0 days 02:06:21.402000 | 24.1 | 63.0 | 1001.3 | False | 42.6 | 228 | 2.0 |
| 127 | 0 days 02:07:21.407000 | 24.2 | 62.0 | 1001.2 | False | 42.5 | 280 | 1.7 |
| 128 | 0 days 02:08:21.393000 | 24.2 | 61.0 | 1001.3 | False | 42.5 | 203 | 0.9 |
| 129 | 0 days 02:09:21.406000 | 24.3 | 62.0 | 1001.2 | False | 42.4 | 233 | 1.5 |
| 130 | 0 days 02:10:21.398000 | 24.5 | 62.0 | 1001.3 | False | 42.4 | 223 | 1.3 |
| 131 | 0 days 02:11:21.409000 | 24.5 | 61.0 | 1001.2 | False | 43.6 | 250 | 1.2 |
| 132 | 0 days 02:12:21.406000 | 24.4 | 61.0 | 1001.2 | False | 41.3 | 96 | 1.4 |
| 133 | 0 days 02:13:21.400000 | 24.3 | 62.0 | 1001.2 | False | 41.1 | 192 | 1.4 |
| 134 | 0 days 02:14:21.402000 | 24.3 | 63.0 | 1001.2 | False | 41.1 | 239 | 1.4 |
| 135 | 0 days 02:15:21.413000 | 24.3 | 62.0 | 1001.2 | False | 40.7 | 245 | 1.5 |
| 136 | 0 days 02:16:21.408000 | 24.1 | 62.0 | 1001.2 | False | 40.3 | 280 | 1.8 |
| 137 | 0 days 02:17:21.407000 | 24.1 | 63.0 | 1001.1 | False | 40.3 | 200 | 1.1 |
| 138 | 0 days 02:18:21.408000 | 24.0 | 62.0 | 1001.1 | False | 39.9 | 97 | 1.0 |
| 139 | 0 days 02:19:21.411000 | 24.0 | 62.0 | 1001.1 | False | 39.5 | 120 | 1.3 |
| 140 | 0 days 02:20:21.407000 | 23.8 | 63.0 | 1001.1 | False | 39.6 | 115 | 1.2 |
| 141 | 0 days 02:21:21.415000 | 23.9 | 63.0 | 1001.1 | False | 39.8 | 101 | 1.2 |
| 142 | 0 days 02:22:21.418000 | 23.9 | 62.0 | 1001.1 | False | 39.1 | 95 | 1.0 |
| 143 | 0 days 02:23:21.404000 | 23.6 | 63.0 | 1001.1 | False | 40.4 | 337 | 1.3 |
| 144 | 0 days 02:24:21.407000 | 23.7 | 63.0 | 1001.0 | False | 41.6 | 49 | 0.9 |
| 145 | 0 days 02:25:21.402000 | 23.8 | 62.0 | 1001.2 | False | 42.2 | 104 | 0.9 |
| 146 | 0 days 02:26:21.409000 | 24.0 | 61.0 | 1001.0 | False | 41.9 | 81 | 1.3 |
| 147 | 0 days 02:27:21.418000 | 24.2 | 61.0 | 1001.0 | False | 42.4 | 67 | 1.5 |
| 148 | 0 days 02:28:21.423000 | 24.3 | 60.0 | 1001.1 | False | 42.8 | 282 | 1.2 |
| 149 | 0 days 02:29:21.406000 | 24.1 | 60.0 | 1001.1 | False | 42.8 | 240 | 2.6 |
| 150 | 0 days 02:30:21.417000 | 24.0 | 61.0 | 1001.0 | False | 41.4 | 244 | 1.4 |
| 151 | 0 days 02:31:21.413000 | 24.0 | 61.0 | 1001.0 | False | 40.2 | 245 | 2.3 |
| 152 | 0 days 02:32:21.418000 | 23.7 | 62.0 | 1001.1 | False | 40.3 | 259 | 2.1 |
| 153 | 0 days 02:33:21.418000 | 23.7 | 63.0 | 1001.2 | False | 39.9 | 247 | 1.9 |
In [15]:
from tqdm import tqdm
session.load(telemetry=True, weather=False, laps=True) # we only need laps+telemetry
frames = []
for drv in tqdm(session.drivers, desc="Drivers"):
for _, lap in session.laps.pick_drivers(drv).iterlaps():
# --- the crucial fix ---
pos = lap.get_pos_data() # ⬅️ position stream
# -----------------------
# resample to 100 ms using SessionTime as index
pos = (pos.set_index("SessionTime") # index → Timedelta
.resample("100ms") # 100 ms = 0.1 s
.interpolate())
# keep XYZ; rename index to Timestamp_s in seconds
pos = pos[["X", "Y", "Z"]].reset_index()
pos.rename(columns={"SessionTime": "Timestamp_s"}, inplace=True)
pos["Timestamp_s"] = pos["Timestamp_s"].dt.total_seconds()
# add metadata
pos["Driver"] = drv
pos["LapNumber"] = lap["LapNumber"]
pos["LapTime_s"] = lap["LapTime"].total_seconds()
frames.append(pos)
track_xy_10hz = pd.concat(frames, ignore_index=True)
track_xy_10hz.sort_values(["Driver", "LapNumber", "Timestamp_s"], inplace=True)
# quick look
track_xy_10hz
core INFO Loading data for Spanish Grand Prix - Race [v3.6.0] req INFO Using cached data for session_info req INFO Using cached data for driver_info req INFO Using cached data for session_status_data req INFO Using cached data for lap_count req INFO Using cached data for track_status_data req INFO Using cached data for _extended_timing_data req INFO Using cached data for timing_app_data core INFO Processing timing data... req INFO Using cached data for car_data req INFO Using cached data for position_data req INFO Using cached data for race_control_messages core WARNING Driver 1 completed the race distance 00:00.015000 before the recorded end of the session. core INFO Finished loading data for 20 drivers: ['1', '4', '44', '63', '16', '55', '81', '11', '10', '31', '27', '14', '24', '18', '3', '77', '20', '23', '22', '2'] Drivers: 0%| | 0/20 [00:00<?, ?it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 5%|▌ | 1/20 [00:00<00:10, 1.79it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 10%|█ | 2/20 [00:01<00:10, 1.80it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 15%|█▌ | 3/20 [00:01<00:09, 1.78it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 20%|██ | 4/20 [00:02<00:09, 1.74it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 25%|██▌ | 5/20 [00:02<00:08, 1.71it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 30%|███ | 6/20 [00:03<00:08, 1.71it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 35%|███▌ | 7/20 [00:04<00:07, 1.63it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 40%|████ | 8/20 [00:04<00:07, 1.66it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 45%|████▌ | 9/20 [00:05<00:06, 1.68it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 50%|█████ | 10/20 [00:05<00:05, 1.71it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 55%|█████▌ | 11/20 [00:06<00:05, 1.69it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 60%|██████ | 12/20 [00:07<00:04, 1.70it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 65%|██████▌ | 13/20 [00:07<00:04, 1.58it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 70%|███████ | 14/20 [00:08<00:03, 1.50it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 75%|███████▌ | 15/20 [00:09<00:03, 1.55it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 80%|████████ | 16/20 [00:09<00:02, 1.48it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 85%|████████▌ | 17/20 [00:10<00:02, 1.43it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 90%|█████████ | 18/20 [00:11<00:01, 1.37it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 95%|█████████▌| 19/20 [00:12<00:00, 1.30it/s]C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\2107093586.py:15: FutureWarning: Telemetry.interpolate with object dtype is deprecated and will raise in a future version. Call obj.infer_objects(copy=False) before interpolating instead. .interpolate()) Drivers: 100%|██████████| 20/20 [00:13<00:00, 1.53it/s]
Out[15]:
| Timestamp_s | X | Y | Z | Driver | LapNumber | LapTime_s | |
|---|---|---|---|---|---|---|---|
| 0 | 3417.097 | 872.000000 | -1045.000000 | 1708.000000 | 1 | 1.0 | 83.186 |
| 1 | 3417.197 | 854.323077 | -1072.676923 | 1707.938462 | 1 | 1.0 | 83.186 |
| 2 | 3417.297 | 836.646154 | -1100.353846 | 1707.876923 | 1 | 1.0 | 83.186 |
| 3 | 3417.397 | 818.969231 | -1128.030769 | 1707.815385 | 1 | 1.0 | 83.186 |
| 4 | 3417.497 | 801.292308 | -1155.707692 | 1707.753846 | 1 | 1.0 | 83.186 |
| ... | ... | ... | ... | ... | ... | ... | ... |
| 371218 | 8750.799 | 1603.000000 | 103.000000 | 1707.000000 | 81 | 66.0 | 79.294 |
| 371219 | 8750.899 | 1603.000000 | 103.000000 | 1707.000000 | 81 | 66.0 | 79.294 |
| 371220 | 8750.999 | 1603.000000 | 103.000000 | 1707.000000 | 81 | 66.0 | 79.294 |
| 371221 | 8751.099 | 1603.000000 | 103.000000 | 1707.000000 | 81 | 66.0 | 79.294 |
| 371222 | 8751.199 | 1603.000000 | 103.000000 | 1707.000000 | 81 | 66.0 | 79.294 |
1064258 rows × 7 columns
In [16]:
sector_cols = ['Sector1Time', 'Sector2Time', 'Sector3Time']
sector_log = (
session.laps[['Driver', 'LapNumber'] + sector_cols]
.copy()
)
sector_log
Out[16]:
| Driver | LapNumber | Sector1Time | Sector2Time | Sector3Time | |
|---|---|---|---|---|---|
| 0 | VER | 1.0 | NaT | 0 days 00:00:32.054000 | 0 days 00:00:23.658000 |
| 1 | VER | 2.0 | 0 days 00:00:24.201000 | 0 days 00:00:31.900000 | 0 days 00:00:23.770000 |
| 2 | VER | 3.0 | 0 days 00:00:23.249000 | 0 days 00:00:32.086000 | 0 days 00:00:24.029000 |
| 3 | VER | 4.0 | 0 days 00:00:24.251000 | 0 days 00:00:32.339000 | 0 days 00:00:24.176000 |
| 4 | VER | 5.0 | 0 days 00:00:24.165000 | 0 days 00:00:32.393000 | 0 days 00:00:24.269000 |
| 5 | VER | 6.0 | 0 days 00:00:24.212000 | 0 days 00:00:32.383000 | 0 days 00:00:24.281000 |
| 6 | VER | 7.0 | 0 days 00:00:24.231000 | 0 days 00:00:32.481000 | 0 days 00:00:24.261000 |
| 7 | VER | 8.0 | 0 days 00:00:24.111000 | 0 days 00:00:32.622000 | 0 days 00:00:24.256000 |
| 8 | VER | 9.0 | 0 days 00:00:24.174000 | 0 days 00:00:32.540000 | 0 days 00:00:24.328000 |
| 9 | VER | 10.0 | 0 days 00:00:24.129000 | 0 days 00:00:32.546000 | 0 days 00:00:24.328000 |
| 10 | VER | 11.0 | 0 days 00:00:24.127000 | 0 days 00:00:32.520000 | 0 days 00:00:24.307000 |
| 11 | VER | 12.0 | 0 days 00:00:24.149000 | 0 days 00:00:32.844000 | 0 days 00:00:24.383000 |
| 12 | VER | 13.0 | 0 days 00:00:24.043000 | 0 days 00:00:32.594000 | 0 days 00:00:24.170000 |
| 13 | VER | 14.0 | 0 days 00:00:24.034000 | 0 days 00:00:32.625000 | 0 days 00:00:24.330000 |
| 14 | VER | 15.0 | 0 days 00:00:23.972000 | 0 days 00:00:32.786000 | 0 days 00:00:24.339000 |
| 15 | VER | 16.0 | 0 days 00:00:24.044000 | 0 days 00:00:32.787000 | 0 days 00:00:24.392000 |
| 16 | VER | 17.0 | 0 days 00:00:23.941000 | 0 days 00:00:32.874000 | 0 days 00:00:28.061000 |
| 17 | VER | 18.0 | 0 days 00:00:42.077000 | 0 days 00:00:31.843000 | 0 days 00:00:23.737000 |
| 18 | VER | 19.0 | 0 days 00:00:23.879000 | 0 days 00:00:31.930000 | 0 days 00:00:23.916000 |
| 19 | VER | 20.0 | 0 days 00:00:23.956000 | 0 days 00:00:32.090000 | 0 days 00:00:23.920000 |
| 20 | VER | 21.0 | 0 days 00:00:23.689000 | 0 days 00:00:32.541000 | 0 days 00:00:24.074000 |
| 21 | VER | 22.0 | 0 days 00:00:23.781000 | 0 days 00:00:31.974000 | 0 days 00:00:23.987000 |
| 22 | VER | 23.0 | 0 days 00:00:23.630000 | 0 days 00:00:32.004000 | 0 days 00:00:23.971000 |
| 23 | VER | 24.0 | 0 days 00:00:23.648000 | 0 days 00:00:32.130000 | 0 days 00:00:23.923000 |
| 24 | VER | 25.0 | 0 days 00:00:23.625000 | 0 days 00:00:31.860000 | 0 days 00:00:23.878000 |
| 25 | VER | 26.0 | 0 days 00:00:23.707000 | 0 days 00:00:32.317000 | 0 days 00:00:23.858000 |
| 26 | VER | 27.0 | 0 days 00:00:23.602000 | 0 days 00:00:32.193000 | 0 days 00:00:23.899000 |
| 27 | VER | 28.0 | 0 days 00:00:23.824000 | 0 days 00:00:32.175000 | 0 days 00:00:24.102000 |
| 28 | VER | 29.0 | 0 days 00:00:23.626000 | 0 days 00:00:32.140000 | 0 days 00:00:24.026000 |
| 29 | VER | 30.0 | 0 days 00:00:23.594000 | 0 days 00:00:32.182000 | 0 days 00:00:24.031000 |
| 30 | VER | 31.0 | 0 days 00:00:23.599000 | 0 days 00:00:32.302000 | 0 days 00:00:24.110000 |
| 31 | VER | 32.0 | 0 days 00:00:23.582000 | 0 days 00:00:32.211000 | 0 days 00:00:24.098000 |
| 32 | VER | 33.0 | 0 days 00:00:23.564000 | 0 days 00:00:32.147000 | 0 days 00:00:24.125000 |
| 33 | VER | 34.0 | 0 days 00:00:23.606000 | 0 days 00:00:32.322000 | 0 days 00:00:24.030000 |
| 34 | VER | 35.0 | 0 days 00:00:23.677000 | 0 days 00:00:32.325000 | 0 days 00:00:24.183000 |
| 35 | VER | 36.0 | 0 days 00:00:23.556000 | 0 days 00:00:32.238000 | 0 days 00:00:24.132000 |
| 36 | VER | 37.0 | 0 days 00:00:23.554000 | 0 days 00:00:32.368000 | 0 days 00:00:23.881000 |
| 37 | VER | 38.0 | 0 days 00:00:23.596000 | 0 days 00:00:32.132000 | 0 days 00:00:24.085000 |
| 38 | VER | 39.0 | 0 days 00:00:23.535000 | 0 days 00:00:32.119000 | 0 days 00:00:24.015000 |
| 39 | VER | 40.0 | 0 days 00:00:23.602000 | 0 days 00:00:32.574000 | 0 days 00:00:24.134000 |
| 40 | VER | 41.0 | 0 days 00:00:23.525000 | 0 days 00:00:32.142000 | 0 days 00:00:23.981000 |
| 41 | VER | 42.0 | 0 days 00:00:23.528000 | 0 days 00:00:32.412000 | 0 days 00:00:23.980000 |
| 42 | VER | 43.0 | 0 days 00:00:23.469000 | 0 days 00:00:32.617000 | 0 days 00:00:24.215000 |
| 43 | VER | 44.0 | 0 days 00:00:23.465000 | 0 days 00:00:32.256000 | 0 days 00:00:27.706000 |
| 44 | VER | 45.0 | 0 days 00:00:42.408000 | 0 days 00:00:31.274000 | 0 days 00:00:23.371000 |
| 45 | VER | 46.0 | 0 days 00:00:23.228000 | 0 days 00:00:31.289000 | 0 days 00:00:23.369000 |
| 46 | VER | 47.0 | 0 days 00:00:23.311000 | 0 days 00:00:31.297000 | 0 days 00:00:23.390000 |
| 47 | VER | 48.0 | 0 days 00:00:23.278000 | 0 days 00:00:31.346000 | 0 days 00:00:23.792000 |
| 48 | VER | 49.0 | 0 days 00:00:23.138000 | 0 days 00:00:31.533000 | 0 days 00:00:23.583000 |
| 49 | VER | 50.0 | 0 days 00:00:23.375000 | 0 days 00:00:31.242000 | 0 days 00:00:23.457000 |
| 50 | VER | 51.0 | 0 days 00:00:23.205000 | 0 days 00:00:31.332000 | 0 days 00:00:23.421000 |
| 51 | VER | 52.0 | 0 days 00:00:23.157000 | 0 days 00:00:31.325000 | 0 days 00:00:23.449000 |
| 52 | VER | 53.0 | 0 days 00:00:23.290000 | 0 days 00:00:31.470000 | 0 days 00:00:23.380000 |
| 53 | VER | 54.0 | 0 days 00:00:23.032000 | 0 days 00:00:31.311000 | 0 days 00:00:23.433000 |
| 54 | VER | 55.0 | 0 days 00:00:23.033000 | 0 days 00:00:31.542000 | 0 days 00:00:23.446000 |
| 55 | VER | 56.0 | 0 days 00:00:23.265000 | 0 days 00:00:31.600000 | 0 days 00:00:23.489000 |
| 56 | VER | 57.0 | 0 days 00:00:23.140000 | 0 days 00:00:31.433000 | 0 days 00:00:23.554000 |
| 57 | VER | 58.0 | 0 days 00:00:23.149000 | 0 days 00:00:31.675000 | 0 days 00:00:23.363000 |
| 58 | VER | 59.0 | 0 days 00:00:23.240000 | 0 days 00:00:31.469000 | 0 days 00:00:23.405000 |
| 59 | VER | 60.0 | 0 days 00:00:23.186000 | 0 days 00:00:31.529000 | 0 days 00:00:23.450000 |
| 60 | VER | 61.0 | 0 days 00:00:23.171000 | 0 days 00:00:31.633000 | 0 days 00:00:23.556000 |
| 61 | VER | 62.0 | 0 days 00:00:23.228000 | 0 days 00:00:31.628000 | 0 days 00:00:23.445000 |
| 62 | VER | 63.0 | 0 days 00:00:23.252000 | 0 days 00:00:31.685000 | 0 days 00:00:23.606000 |
| 63 | VER | 64.0 | 0 days 00:00:23.303000 | 0 days 00:00:31.953000 | 0 days 00:00:23.816000 |
| 64 | VER | 65.0 | 0 days 00:00:23.258000 | 0 days 00:00:32.109000 | 0 days 00:00:24.100000 |
| 65 | VER | 66.0 | 0 days 00:00:23.251000 | 0 days 00:00:32.326000 | 0 days 00:00:24.197000 |
| 66 | NOR | 1.0 | NaT | 0 days 00:00:32.415000 | 0 days 00:00:23.736000 |
| 67 | NOR | 2.0 | 0 days 00:00:24.310000 | 0 days 00:00:32.014000 | 0 days 00:00:23.891000 |
| 68 | NOR | 3.0 | 0 days 00:00:23.900000 | 0 days 00:00:32.182000 | 0 days 00:00:24.161000 |
| 69 | NOR | 4.0 | 0 days 00:00:24.100000 | 0 days 00:00:32.487000 | 0 days 00:00:24.115000 |
| 70 | NOR | 5.0 | 0 days 00:00:24.079000 | 0 days 00:00:32.638000 | 0 days 00:00:24.417000 |
| 71 | NOR | 6.0 | 0 days 00:00:23.922000 | 0 days 00:00:32.657000 | 0 days 00:00:24.477000 |
| 72 | NOR | 7.0 | 0 days 00:00:23.932000 | 0 days 00:00:32.784000 | 0 days 00:00:24.577000 |
| 73 | NOR | 8.0 | 0 days 00:00:24.019000 | 0 days 00:00:32.822000 | 0 days 00:00:24.602000 |
| 74 | NOR | 9.0 | 0 days 00:00:23.901000 | 0 days 00:00:32.724000 | 0 days 00:00:24.518000 |
| 75 | NOR | 10.0 | 0 days 00:00:23.826000 | 0 days 00:00:32.713000 | 0 days 00:00:24.684000 |
| 76 | NOR | 11.0 | 0 days 00:00:23.853000 | 0 days 00:00:32.836000 | 0 days 00:00:24.596000 |
| 77 | NOR | 12.0 | 0 days 00:00:23.749000 | 0 days 00:00:33.038000 | 0 days 00:00:24.567000 |
| 78 | NOR | 13.0 | 0 days 00:00:23.800000 | 0 days 00:00:33.061000 | 0 days 00:00:24.571000 |
| 79 | NOR | 14.0 | 0 days 00:00:24.066000 | 0 days 00:00:32.997000 | 0 days 00:00:24.597000 |
| 80 | NOR | 15.0 | 0 days 00:00:24.035000 | 0 days 00:00:33.019000 | 0 days 00:00:24.487000 |
| 81 | NOR | 16.0 | 0 days 00:00:23.589000 | 0 days 00:00:32.473000 | 0 days 00:00:24.409000 |
| 82 | NOR | 17.0 | 0 days 00:00:23.962000 | 0 days 00:00:32.525000 | 0 days 00:00:24.421000 |
| 83 | NOR | 18.0 | 0 days 00:00:23.761000 | 0 days 00:00:32.426000 | 0 days 00:00:24.260000 |
| 84 | NOR | 19.0 | 0 days 00:00:23.817000 | 0 days 00:00:32.503000 | 0 days 00:00:24.315000 |
| 85 | NOR | 20.0 | 0 days 00:00:23.910000 | 0 days 00:00:32.500000 | 0 days 00:00:24.406000 |
| 86 | NOR | 21.0 | 0 days 00:00:23.785000 | 0 days 00:00:32.582000 | 0 days 00:00:24.540000 |
| 87 | NOR | 22.0 | 0 days 00:00:23.695000 | 0 days 00:00:32.707000 | 0 days 00:00:24.526000 |
| 88 | NOR | 23.0 | 0 days 00:00:24.047000 | 0 days 00:00:32.816000 | 0 days 00:00:28.322000 |
| 89 | NOR | 24.0 | 0 days 00:00:42.134000 | 0 days 00:00:31.700000 | 0 days 00:00:23.839000 |
| 90 | NOR | 25.0 | 0 days 00:00:23.639000 | 0 days 00:00:31.468000 | 0 days 00:00:23.396000 |
| 91 | NOR | 26.0 | 0 days 00:00:23.575000 | 0 days 00:00:32.235000 | 0 days 00:00:24.046000 |
| 92 | NOR | 27.0 | 0 days 00:00:23.187000 | 0 days 00:00:32.184000 | 0 days 00:00:23.946000 |
| 93 | NOR | 28.0 | 0 days 00:00:23.706000 | 0 days 00:00:32.040000 | 0 days 00:00:24.089000 |
| 94 | NOR | 29.0 | 0 days 00:00:23.623000 | 0 days 00:00:32.040000 | 0 days 00:00:24.057000 |
| 95 | NOR | 30.0 | 0 days 00:00:23.345000 | 0 days 00:00:32.137000 | 0 days 00:00:23.907000 |
| 96 | NOR | 31.0 | 0 days 00:00:23.453000 | 0 days 00:00:32.544000 | 0 days 00:00:24.148000 |
| 97 | NOR | 32.0 | 0 days 00:00:23.424000 | 0 days 00:00:32.334000 | 0 days 00:00:24.110000 |
| 98 | NOR | 33.0 | 0 days 00:00:23.687000 | 0 days 00:00:32.334000 | 0 days 00:00:24.069000 |
| 99 | NOR | 34.0 | 0 days 00:00:23.398000 | 0 days 00:00:32.415000 | 0 days 00:00:24.042000 |
| 100 | NOR | 35.0 | 0 days 00:00:23.403000 | 0 days 00:00:33.064000 | 0 days 00:00:24.011000 |
| 101 | NOR | 36.0 | 0 days 00:00:23.570000 | 0 days 00:00:32.069000 | 0 days 00:00:23.808000 |
| 102 | NOR | 37.0 | 0 days 00:00:23.544000 | 0 days 00:00:31.916000 | 0 days 00:00:23.765000 |
| 103 | NOR | 38.0 | 0 days 00:00:23.373000 | 0 days 00:00:31.974000 | 0 days 00:00:23.960000 |
| 104 | NOR | 39.0 | 0 days 00:00:23.303000 | 0 days 00:00:31.976000 | 0 days 00:00:23.936000 |
| 105 | NOR | 40.0 | 0 days 00:00:23.413000 | 0 days 00:00:32.253000 | 0 days 00:00:24.079000 |
| 106 | NOR | 41.0 | 0 days 00:00:23.053000 | 0 days 00:00:31.906000 | 0 days 00:00:23.952000 |
| 107 | NOR | 42.0 | 0 days 00:00:23.355000 | 0 days 00:00:32.162000 | 0 days 00:00:23.994000 |
| 108 | NOR | 43.0 | 0 days 00:00:23.235000 | 0 days 00:00:32.276000 | 0 days 00:00:23.988000 |
| 109 | NOR | 44.0 | 0 days 00:00:23.023000 | 0 days 00:00:32.257000 | 0 days 00:00:24.177000 |
| 110 | NOR | 45.0 | 0 days 00:00:22.921000 | 0 days 00:00:31.967000 | 0 days 00:00:23.866000 |
| 111 | NOR | 46.0 | 0 days 00:00:23.405000 | 0 days 00:00:32.144000 | 0 days 00:00:23.870000 |
| 112 | NOR | 47.0 | 0 days 00:00:23.251000 | 0 days 00:00:32.043000 | 0 days 00:00:27.692000 |
| 113 | NOR | 48.0 | 0 days 00:00:42.327000 | 0 days 00:00:31.348000 | 0 days 00:00:23.451000 |
| 114 | NOR | 49.0 | 0 days 00:00:22.611000 | 0 days 00:00:31.288000 | 0 days 00:00:23.478000 |
| 115 | NOR | 50.0 | 0 days 00:00:23.343000 | 0 days 00:00:31.289000 | 0 days 00:00:23.308000 |
| 116 | NOR | 51.0 | 0 days 00:00:22.626000 | 0 days 00:00:31.243000 | 0 days 00:00:23.246000 |
| 117 | NOR | 52.0 | 0 days 00:00:23.075000 | 0 days 00:00:31.247000 | 0 days 00:00:23.332000 |
| 118 | NOR | 53.0 | 0 days 00:00:23.085000 | 0 days 00:00:31.416000 | 0 days 00:00:23.413000 |
| 119 | NOR | 54.0 | 0 days 00:00:22.985000 | 0 days 00:00:31.401000 | 0 days 00:00:23.601000 |
| 120 | NOR | 55.0 | 0 days 00:00:23.003000 | 0 days 00:00:31.659000 | 0 days 00:00:23.701000 |
| 121 | NOR | 56.0 | 0 days 00:00:22.602000 | 0 days 00:00:31.610000 | 0 days 00:00:23.415000 |
| 122 | NOR | 57.0 | 0 days 00:00:23.016000 | 0 days 00:00:31.295000 | 0 days 00:00:23.582000 |
| 123 | NOR | 58.0 | 0 days 00:00:23.045000 | 0 days 00:00:31.629000 | 0 days 00:00:23.585000 |
| 124 | NOR | 59.0 | 0 days 00:00:22.976000 | 0 days 00:00:31.411000 | 0 days 00:00:23.558000 |
| 125 | NOR | 60.0 | 0 days 00:00:22.995000 | 0 days 00:00:31.680000 | 0 days 00:00:23.596000 |
| 126 | NOR | 61.0 | 0 days 00:00:22.595000 | 0 days 00:00:31.667000 | 0 days 00:00:23.543000 |
| 127 | NOR | 62.0 | 0 days 00:00:23.013000 | 0 days 00:00:31.558000 | 0 days 00:00:23.509000 |
| 128 | NOR | 63.0 | 0 days 00:00:22.953000 | 0 days 00:00:31.706000 | 0 days 00:00:23.515000 |
| 129 | NOR | 64.0 | 0 days 00:00:22.868000 | 0 days 00:00:31.704000 | 0 days 00:00:23.710000 |
| 130 | NOR | 65.0 | 0 days 00:00:22.909000 | 0 days 00:00:31.991000 | 0 days 00:00:23.873000 |
| 131 | NOR | 66.0 | 0 days 00:00:23.436000 | 0 days 00:00:32.053000 | 0 days 00:00:24.193000 |
| 132 | HAM | 1.0 | NaT | 0 days 00:00:32.524000 | 0 days 00:00:23.875000 |
| 133 | HAM | 2.0 | 0 days 00:00:24.248000 | 0 days 00:00:32.276000 | 0 days 00:00:24.070000 |
| 134 | HAM | 3.0 | 0 days 00:00:23.619000 | 0 days 00:00:32.545000 | 0 days 00:00:24.257000 |
| 135 | HAM | 4.0 | 0 days 00:00:23.788000 | 0 days 00:00:32.624000 | 0 days 00:00:24.084000 |
| 136 | HAM | 5.0 | 0 days 00:00:23.672000 | 0 days 00:00:32.908000 | 0 days 00:00:24.470000 |
| 137 | HAM | 6.0 | 0 days 00:00:23.800000 | 0 days 00:00:32.807000 | 0 days 00:00:24.593000 |
| 138 | HAM | 7.0 | 0 days 00:00:23.881000 | 0 days 00:00:32.887000 | 0 days 00:00:24.455000 |
| 139 | HAM | 8.0 | 0 days 00:00:23.960000 | 0 days 00:00:32.882000 | 0 days 00:00:24.696000 |
| 140 | HAM | 9.0 | 0 days 00:00:23.689000 | 0 days 00:00:32.891000 | 0 days 00:00:24.627000 |
| 141 | HAM | 10.0 | 0 days 00:00:23.678000 | 0 days 00:00:33.191000 | 0 days 00:00:24.511000 |
| 142 | HAM | 11.0 | 0 days 00:00:23.838000 | 0 days 00:00:32.888000 | 0 days 00:00:24.466000 |
| 143 | HAM | 12.0 | 0 days 00:00:23.811000 | 0 days 00:00:33.079000 | 0 days 00:00:24.615000 |
| 144 | HAM | 13.0 | 0 days 00:00:23.771000 | 0 days 00:00:32.954000 | 0 days 00:00:24.725000 |
| 145 | HAM | 14.0 | 0 days 00:00:23.932000 | 0 days 00:00:32.988000 | 0 days 00:00:24.681000 |
| 146 | HAM | 15.0 | 0 days 00:00:23.995000 | 0 days 00:00:33.298000 | 0 days 00:00:24.684000 |
| 147 | HAM | 16.0 | 0 days 00:00:23.907000 | 0 days 00:00:32.967000 | 0 days 00:00:28.092000 |
| 148 | HAM | 17.0 | 0 days 00:00:42.092000 | 0 days 00:00:32.092000 | 0 days 00:00:24.148000 |
| 149 | HAM | 18.0 | 0 days 00:00:23.491000 | 0 days 00:00:32.351000 | 0 days 00:00:24.196000 |
| 150 | HAM | 19.0 | 0 days 00:00:23.397000 | 0 days 00:00:31.984000 | 0 days 00:00:23.926000 |
| 151 | HAM | 20.0 | 0 days 00:00:23.580000 | 0 days 00:00:32.165000 | 0 days 00:00:23.958000 |
| 152 | HAM | 21.0 | 0 days 00:00:23.622000 | 0 days 00:00:32.244000 | 0 days 00:00:24.049000 |
| 153 | HAM | 22.0 | 0 days 00:00:23.593000 | 0 days 00:00:32.314000 | 0 days 00:00:24.101000 |
| 154 | HAM | 23.0 | 0 days 00:00:23.523000 | 0 days 00:00:32.190000 | 0 days 00:00:24.075000 |
| 155 | HAM | 24.0 | 0 days 00:00:23.644000 | 0 days 00:00:32.250000 | 0 days 00:00:24.165000 |
| 156 | HAM | 25.0 | 0 days 00:00:23.572000 | 0 days 00:00:32.220000 | 0 days 00:00:24.180000 |
| 157 | HAM | 26.0 | 0 days 00:00:23.594000 | 0 days 00:00:32.328000 | 0 days 00:00:23.993000 |
| 158 | HAM | 27.0 | 0 days 00:00:23.616000 | 0 days 00:00:32.662000 | 0 days 00:00:24.312000 |
| 159 | HAM | 28.0 | 0 days 00:00:23.647000 | 0 days 00:00:32.326000 | 0 days 00:00:24.263000 |
| 160 | HAM | 29.0 | 0 days 00:00:23.539000 | 0 days 00:00:32.107000 | 0 days 00:00:24.111000 |
| 161 | HAM | 30.0 | 0 days 00:00:23.594000 | 0 days 00:00:32.330000 | 0 days 00:00:23.972000 |
| 162 | HAM | 31.0 | 0 days 00:00:23.681000 | 0 days 00:00:32.367000 | 0 days 00:00:24.279000 |
| 163 | HAM | 32.0 | 0 days 00:00:24.109000 | 0 days 00:00:32.762000 | 0 days 00:00:24.486000 |
| 164 | HAM | 33.0 | 0 days 00:00:23.517000 | 0 days 00:00:32.423000 | 0 days 00:00:24.318000 |
| 165 | HAM | 34.0 | 0 days 00:00:23.460000 | 0 days 00:00:32.370000 | 0 days 00:00:24.156000 |
| 166 | HAM | 35.0 | 0 days 00:00:23.541000 | 0 days 00:00:32.614000 | 0 days 00:00:24.496000 |
| 167 | HAM | 36.0 | 0 days 00:00:23.512000 | 0 days 00:00:32.660000 | 0 days 00:00:24.434000 |
| 168 | HAM | 37.0 | 0 days 00:00:23.104000 | 0 days 00:00:32.220000 | 0 days 00:00:24.080000 |
| 169 | HAM | 38.0 | 0 days 00:00:23.405000 | 0 days 00:00:32.203000 | 0 days 00:00:24.050000 |
| 170 | HAM | 39.0 | 0 days 00:00:23.587000 | 0 days 00:00:32.402000 | 0 days 00:00:24.048000 |
| 171 | HAM | 40.0 | 0 days 00:00:23.391000 | 0 days 00:00:32.451000 | 0 days 00:00:24.190000 |
| 172 | HAM | 41.0 | 0 days 00:00:23.349000 | 0 days 00:00:32.188000 | 0 days 00:00:24.063000 |
| 173 | HAM | 42.0 | 0 days 00:00:23.418000 | 0 days 00:00:32.474000 | 0 days 00:00:24.332000 |
| 174 | HAM | 43.0 | 0 days 00:00:23.416000 | 0 days 00:00:32.799000 | 0 days 00:00:27.934000 |
| 175 | HAM | 44.0 | 0 days 00:00:41.383000 | 0 days 00:00:31.484000 | 0 days 00:00:23.327000 |
| 176 | HAM | 45.0 | 0 days 00:00:22.642000 | 0 days 00:00:32.112000 | 0 days 00:00:24.005000 |
| 177 | HAM | 46.0 | 0 days 00:00:22.564000 | 0 days 00:00:31.355000 | 0 days 00:00:23.890000 |
| 178 | HAM | 47.0 | 0 days 00:00:22.938000 | 0 days 00:00:31.509000 | 0 days 00:00:23.765000 |
| 179 | HAM | 48.0 | 0 days 00:00:23.324000 | 0 days 00:00:31.748000 | 0 days 00:00:23.768000 |
| 180 | HAM | 49.0 | 0 days 00:00:23.222000 | 0 days 00:00:31.985000 | 0 days 00:00:23.769000 |
| 181 | HAM | 50.0 | 0 days 00:00:23.190000 | 0 days 00:00:31.396000 | 0 days 00:00:23.623000 |
| 182 | HAM | 51.0 | 0 days 00:00:22.711000 | 0 days 00:00:31.830000 | 0 days 00:00:23.736000 |
| 183 | HAM | 52.0 | 0 days 00:00:22.883000 | 0 days 00:00:31.904000 | 0 days 00:00:23.630000 |
| 184 | HAM | 53.0 | 0 days 00:00:23.481000 | 0 days 00:00:31.467000 | 0 days 00:00:23.657000 |
| 185 | HAM | 54.0 | 0 days 00:00:23.292000 | 0 days 00:00:31.466000 | 0 days 00:00:23.775000 |
| 186 | HAM | 55.0 | 0 days 00:00:23.501000 | 0 days 00:00:31.634000 | 0 days 00:00:23.653000 |
| 187 | HAM | 56.0 | 0 days 00:00:23.270000 | 0 days 00:00:31.521000 | 0 days 00:00:23.641000 |
| 188 | HAM | 57.0 | 0 days 00:00:23.319000 | 0 days 00:00:31.483000 | 0 days 00:00:23.821000 |
| 189 | HAM | 58.0 | 0 days 00:00:23.255000 | 0 days 00:00:31.692000 | 0 days 00:00:23.741000 |
| 190 | HAM | 59.0 | 0 days 00:00:23.153000 | 0 days 00:00:31.746000 | 0 days 00:00:23.741000 |
| 191 | HAM | 60.0 | 0 days 00:00:23.142000 | 0 days 00:00:31.755000 | 0 days 00:00:23.738000 |
| 192 | HAM | 61.0 | 0 days 00:00:23.059000 | 0 days 00:00:31.809000 | 0 days 00:00:23.971000 |
| 193 | HAM | 62.0 | 0 days 00:00:23.200000 | 0 days 00:00:32.076000 | 0 days 00:00:24.061000 |
| 194 | HAM | 63.0 | 0 days 00:00:22.904000 | 0 days 00:00:32.051000 | 0 days 00:00:23.987000 |
| 195 | HAM | 64.0 | 0 days 00:00:23.192000 | 0 days 00:00:32.085000 | 0 days 00:00:23.889000 |
| 196 | HAM | 65.0 | 0 days 00:00:23.215000 | 0 days 00:00:31.893000 | 0 days 00:00:23.901000 |
| 197 | HAM | 66.0 | 0 days 00:00:23.347000 | 0 days 00:00:32.280000 | 0 days 00:00:24.414000 |
| 198 | RUS | 1.0 | NaT | 0 days 00:00:31.805000 | 0 days 00:00:23.820000 |
| 199 | RUS | 2.0 | 0 days 00:00:24.192000 | 0 days 00:00:32.070000 | 0 days 00:00:23.595000 |
| 200 | RUS | 3.0 | 0 days 00:00:24.547000 | 0 days 00:00:32.436000 | 0 days 00:00:24.120000 |
| 201 | RUS | 4.0 | 0 days 00:00:24.258000 | 0 days 00:00:32.472000 | 0 days 00:00:24.113000 |
| 202 | RUS | 5.0 | 0 days 00:00:24.132000 | 0 days 00:00:32.493000 | 0 days 00:00:24.298000 |
| 203 | RUS | 6.0 | 0 days 00:00:24.123000 | 0 days 00:00:32.597000 | 0 days 00:00:24.350000 |
| 204 | RUS | 7.0 | 0 days 00:00:24.136000 | 0 days 00:00:32.632000 | 0 days 00:00:24.538000 |
| 205 | RUS | 8.0 | 0 days 00:00:24.021000 | 0 days 00:00:32.898000 | 0 days 00:00:24.517000 |
| 206 | RUS | 9.0 | 0 days 00:00:23.914000 | 0 days 00:00:32.759000 | 0 days 00:00:24.495000 |
| 207 | RUS | 10.0 | 0 days 00:00:23.894000 | 0 days 00:00:32.745000 | 0 days 00:00:24.669000 |
| 208 | RUS | 11.0 | 0 days 00:00:23.959000 | 0 days 00:00:32.701000 | 0 days 00:00:24.401000 |
| 209 | RUS | 12.0 | 0 days 00:00:23.915000 | 0 days 00:00:32.921000 | 0 days 00:00:24.547000 |
| 210 | RUS | 13.0 | 0 days 00:00:24.029000 | 0 days 00:00:32.928000 | 0 days 00:00:24.408000 |
| 211 | RUS | 14.0 | 0 days 00:00:23.920000 | 0 days 00:00:32.959000 | 0 days 00:00:24.603000 |
| 212 | RUS | 15.0 | 0 days 00:00:24.133000 | 0 days 00:00:33.087000 | 0 days 00:00:28.144000 |
| 213 | RUS | 16.0 | 0 days 00:00:45.086000 | 0 days 00:00:31.453000 | 0 days 00:00:23.701000 |
| 214 | RUS | 17.0 | 0 days 00:00:23.484000 | 0 days 00:00:32.638000 | 0 days 00:00:24.155000 |
| 215 | RUS | 18.0 | 0 days 00:00:23.554000 | 0 days 00:00:32.051000 | 0 days 00:00:23.906000 |
| 216 | RUS | 19.0 | 0 days 00:00:23.416000 | 0 days 00:00:32.130000 | 0 days 00:00:23.993000 |
| 217 | RUS | 20.0 | 0 days 00:00:23.662000 | 0 days 00:00:32.313000 | 0 days 00:00:23.997000 |
| 218 | RUS | 21.0 | 0 days 00:00:23.652000 | 0 days 00:00:32.230000 | 0 days 00:00:24.458000 |
| 219 | RUS | 22.0 | 0 days 00:00:23.782000 | 0 days 00:00:32.163000 | 0 days 00:00:24.148000 |
| 220 | RUS | 23.0 | 0 days 00:00:23.588000 | 0 days 00:00:32.182000 | 0 days 00:00:24.101000 |
| 221 | RUS | 24.0 | 0 days 00:00:23.661000 | 0 days 00:00:32.201000 | 0 days 00:00:24.170000 |
| 222 | RUS | 25.0 | 0 days 00:00:23.579000 | 0 days 00:00:32.153000 | 0 days 00:00:24.040000 |
| 223 | RUS | 26.0 | 0 days 00:00:23.746000 | 0 days 00:00:32.455000 | 0 days 00:00:24.078000 |
| 224 | RUS | 27.0 | 0 days 00:00:23.752000 | 0 days 00:00:32.498000 | 0 days 00:00:23.972000 |
| 225 | RUS | 28.0 | 0 days 00:00:23.684000 | 0 days 00:00:32.267000 | 0 days 00:00:24.250000 |
| 226 | RUS | 29.0 | 0 days 00:00:23.608000 | 0 days 00:00:32.184000 | 0 days 00:00:24.235000 |
| 227 | RUS | 30.0 | 0 days 00:00:23.615000 | 0 days 00:00:32.391000 | 0 days 00:00:24.032000 |
| 228 | RUS | 31.0 | 0 days 00:00:23.622000 | 0 days 00:00:32.486000 | 0 days 00:00:24.230000 |
| 229 | RUS | 32.0 | 0 days 00:00:23.631000 | 0 days 00:00:32.411000 | 0 days 00:00:24.259000 |
| 230 | RUS | 33.0 | 0 days 00:00:23.564000 | 0 days 00:00:32.539000 | 0 days 00:00:24.075000 |
| 231 | RUS | 34.0 | 0 days 00:00:23.685000 | 0 days 00:00:32.507000 | 0 days 00:00:24.012000 |
| 232 | RUS | 35.0 | 0 days 00:00:24.023000 | 0 days 00:00:33.547000 | 0 days 00:00:24.559000 |
| 233 | RUS | 36.0 | 0 days 00:00:23.483000 | 0 days 00:00:32.781000 | 0 days 00:00:28.108000 |
| 234 | RUS | 37.0 | 0 days 00:00:43 | 0 days 00:00:31.569000 | 0 days 00:00:24.782000 |
| 235 | RUS | 38.0 | 0 days 00:00:23.114000 | 0 days 00:00:31.665000 | 0 days 00:00:23.588000 |
| 236 | RUS | 39.0 | 0 days 00:00:23.313000 | 0 days 00:00:31.720000 | 0 days 00:00:23.931000 |
| 237 | RUS | 40.0 | 0 days 00:00:23.573000 | 0 days 00:00:31.943000 | 0 days 00:00:23.912000 |
| 238 | RUS | 41.0 | 0 days 00:00:23.277000 | 0 days 00:00:32.010000 | 0 days 00:00:23.695000 |
| 239 | RUS | 42.0 | 0 days 00:00:23.377000 | 0 days 00:00:32.002000 | 0 days 00:00:23.654000 |
| 240 | RUS | 43.0 | 0 days 00:00:23.292000 | 0 days 00:00:32.038000 | 0 days 00:00:23.976000 |
| 241 | RUS | 44.0 | 0 days 00:00:23.132000 | 0 days 00:00:32.056000 | 0 days 00:00:23.831000 |
| 242 | RUS | 45.0 | 0 days 00:00:23.267000 | 0 days 00:00:32.220000 | 0 days 00:00:24.145000 |
| 243 | RUS | 46.0 | 0 days 00:00:22.797000 | 0 days 00:00:31.807000 | 0 days 00:00:23.687000 |
| 244 | RUS | 47.0 | 0 days 00:00:23.009000 | 0 days 00:00:31.924000 | 0 days 00:00:23.553000 |
| 245 | RUS | 48.0 | 0 days 00:00:24.028000 | 0 days 00:00:32.068000 | 0 days 00:00:23.964000 |
| 246 | RUS | 49.0 | 0 days 00:00:23.111000 | 0 days 00:00:31.773000 | 0 days 00:00:23.797000 |
| 247 | RUS | 50.0 | 0 days 00:00:23.092000 | 0 days 00:00:31.512000 | 0 days 00:00:23.686000 |
| 248 | RUS | 51.0 | 0 days 00:00:23.056000 | 0 days 00:00:31.889000 | 0 days 00:00:23.781000 |
| 249 | RUS | 52.0 | 0 days 00:00:23.883000 | 0 days 00:00:32.293000 | 0 days 00:00:24.065000 |
| 250 | RUS | 53.0 | 0 days 00:00:23.045000 | 0 days 00:00:31.952000 | 0 days 00:00:23.866000 |
| 251 | RUS | 54.0 | 0 days 00:00:23.211000 | 0 days 00:00:31.861000 | 0 days 00:00:23.788000 |
| 252 | RUS | 55.0 | 0 days 00:00:23.024000 | 0 days 00:00:31.778000 | 0 days 00:00:23.770000 |
| 253 | RUS | 56.0 | 0 days 00:00:23.193000 | 0 days 00:00:31.876000 | 0 days 00:00:23.723000 |
| 254 | RUS | 57.0 | 0 days 00:00:23.151000 | 0 days 00:00:31.878000 | 0 days 00:00:23.927000 |
| 255 | RUS | 58.0 | 0 days 00:00:23.134000 | 0 days 00:00:31.789000 | 0 days 00:00:23.718000 |
| 256 | RUS | 59.0 | 0 days 00:00:23.048000 | 0 days 00:00:32.010000 | 0 days 00:00:23.819000 |
| 257 | RUS | 60.0 | 0 days 00:00:23.135000 | 0 days 00:00:32.011000 | 0 days 00:00:23.962000 |
| 258 | RUS | 61.0 | 0 days 00:00:23.120000 | 0 days 00:00:32.186000 | 0 days 00:00:23.961000 |
| 259 | RUS | 62.0 | 0 days 00:00:23.224000 | 0 days 00:00:32.193000 | 0 days 00:00:23.887000 |
| 260 | RUS | 63.0 | 0 days 00:00:23.317000 | 0 days 00:00:32.266000 | 0 days 00:00:23.937000 |
| 261 | RUS | 64.0 | 0 days 00:00:23.218000 | 0 days 00:00:32.175000 | 0 days 00:00:23.979000 |
| 262 | RUS | 65.0 | 0 days 00:00:23.138000 | 0 days 00:00:32.303000 | 0 days 00:00:24.193000 |
| 263 | RUS | 66.0 | 0 days 00:00:23.288000 | 0 days 00:00:32.356000 | 0 days 00:00:24.107000 |
| 264 | LEC | 1.0 | NaT | 0 days 00:00:32.843000 | 0 days 00:00:24.301000 |
| 265 | LEC | 2.0 | 0 days 00:00:24.412000 | 0 days 00:00:32.367000 | 0 days 00:00:24.063000 |
| 266 | LEC | 3.0 | 0 days 00:00:24.178000 | 0 days 00:00:32.792000 | 0 days 00:00:24.317000 |
| 267 | LEC | 4.0 | 0 days 00:00:23.973000 | 0 days 00:00:32.407000 | 0 days 00:00:24.189000 |
| 268 | LEC | 5.0 | 0 days 00:00:23.906000 | 0 days 00:00:32.529000 | 0 days 00:00:24.497000 |
| 269 | LEC | 6.0 | 0 days 00:00:23.867000 | 0 days 00:00:32.739000 | 0 days 00:00:24.621000 |
| 270 | LEC | 7.0 | 0 days 00:00:23.829000 | 0 days 00:00:32.725000 | 0 days 00:00:24.442000 |
| 271 | LEC | 8.0 | 0 days 00:00:23.923000 | 0 days 00:00:32.943000 | 0 days 00:00:24.527000 |
| 272 | LEC | 9.0 | 0 days 00:00:23.653000 | 0 days 00:00:32.902000 | 0 days 00:00:24.775000 |
| 273 | LEC | 10.0 | 0 days 00:00:23.553000 | 0 days 00:00:32.805000 | 0 days 00:00:24.656000 |
| 274 | LEC | 11.0 | 0 days 00:00:23.728000 | 0 days 00:00:33.112000 | 0 days 00:00:24.636000 |
| 275 | LEC | 12.0 | 0 days 00:00:23.644000 | 0 days 00:00:33.139000 | 0 days 00:00:24.778000 |
| 276 | LEC | 13.0 | 0 days 00:00:23.690000 | 0 days 00:00:33.030000 | 0 days 00:00:24.555000 |
| 277 | LEC | 14.0 | 0 days 00:00:23.732000 | 0 days 00:00:33.129000 | 0 days 00:00:24.733000 |
| 278 | LEC | 15.0 | 0 days 00:00:23.793000 | 0 days 00:00:33.257000 | 0 days 00:00:24.653000 |
| 279 | LEC | 16.0 | 0 days 00:00:23.487000 | 0 days 00:00:32.927000 | 0 days 00:00:24.479000 |
| 280 | LEC | 17.0 | 0 days 00:00:23.423000 | 0 days 00:00:33.055000 | 0 days 00:00:24.645000 |
| 281 | LEC | 18.0 | 0 days 00:00:23.737000 | 0 days 00:00:32.799000 | 0 days 00:00:24.379000 |
| 282 | LEC | 19.0 | 0 days 00:00:23.636000 | 0 days 00:00:32.919000 | 0 days 00:00:24.541000 |
| 283 | LEC | 20.0 | 0 days 00:00:23.829000 | 0 days 00:00:32.929000 | 0 days 00:00:24.401000 |
| 284 | LEC | 21.0 | 0 days 00:00:23.850000 | 0 days 00:00:32.966000 | 0 days 00:00:24.681000 |
| 285 | LEC | 22.0 | 0 days 00:00:23.660000 | 0 days 00:00:33.077000 | 0 days 00:00:24.714000 |
| 286 | LEC | 23.0 | 0 days 00:00:24.019000 | 0 days 00:00:33.007000 | 0 days 00:00:24.697000 |
| 287 | LEC | 24.0 | 0 days 00:00:23.927000 | 0 days 00:00:33.050000 | 0 days 00:00:28.360000 |
| 288 | LEC | 25.0 | 0 days 00:00:42.846000 | 0 days 00:00:31.882000 | 0 days 00:00:23.734000 |
| 289 | LEC | 26.0 | 0 days 00:00:23.387000 | 0 days 00:00:31.862000 | 0 days 00:00:24.132000 |
| 290 | LEC | 27.0 | 0 days 00:00:23.044000 | 0 days 00:00:31.827000 | 0 days 00:00:23.940000 |
| 291 | LEC | 28.0 | 0 days 00:00:23.526000 | 0 days 00:00:31.793000 | 0 days 00:00:24.005000 |
| 292 | LEC | 29.0 | 0 days 00:00:23.583000 | 0 days 00:00:31.948000 | 0 days 00:00:23.951000 |
| 293 | LEC | 30.0 | 0 days 00:00:23.392000 | 0 days 00:00:32.246000 | 0 days 00:00:24.037000 |
| 294 | LEC | 31.0 | 0 days 00:00:23.519000 | 0 days 00:00:32.178000 | 0 days 00:00:24.094000 |
| 295 | LEC | 32.0 | 0 days 00:00:23.353000 | 0 days 00:00:32.074000 | 0 days 00:00:24.082000 |
| 296 | LEC | 33.0 | 0 days 00:00:23.420000 | 0 days 00:00:32.098000 | 0 days 00:00:24.017000 |
| 297 | LEC | 34.0 | 0 days 00:00:23.406000 | 0 days 00:00:32.232000 | 0 days 00:00:23.972000 |
| 298 | LEC | 35.0 | 0 days 00:00:23.446000 | 0 days 00:00:32.484000 | 0 days 00:00:24.247000 |
| 299 | LEC | 36.0 | 0 days 00:00:23.437000 | 0 days 00:00:32.289000 | 0 days 00:00:24.181000 |
| 300 | LEC | 37.0 | 0 days 00:00:23.268000 | 0 days 00:00:32.208000 | 0 days 00:00:24.077000 |
| 301 | LEC | 38.0 | 0 days 00:00:23.482000 | 0 days 00:00:32.132000 | 0 days 00:00:24.026000 |
| 302 | LEC | 39.0 | 0 days 00:00:23.372000 | 0 days 00:00:32.167000 | 0 days 00:00:23.920000 |
| 303 | LEC | 40.0 | 0 days 00:00:23.343000 | 0 days 00:00:32.311000 | 0 days 00:00:24.011000 |
| 304 | LEC | 41.0 | 0 days 00:00:23.291000 | 0 days 00:00:32.303000 | 0 days 00:00:24.068000 |
| 305 | LEC | 42.0 | 0 days 00:00:23.530000 | 0 days 00:00:32.216000 | 0 days 00:00:24.035000 |
| 306 | LEC | 43.0 | 0 days 00:00:23.295000 | 0 days 00:00:32.396000 | 0 days 00:00:24.290000 |
| 307 | LEC | 44.0 | 0 days 00:00:23.361000 | 0 days 00:00:32.492000 | 0 days 00:00:24.211000 |
| 308 | LEC | 45.0 | 0 days 00:00:23.542000 | 0 days 00:00:32.261000 | 0 days 00:00:24.098000 |
| 309 | LEC | 46.0 | 0 days 00:00:23.392000 | 0 days 00:00:32.467000 | 0 days 00:00:24.142000 |
| 310 | LEC | 47.0 | 0 days 00:00:23.334000 | 0 days 00:00:32.570000 | 0 days 00:00:27.857000 |
| 311 | LEC | 48.0 | 0 days 00:00:42.001000 | 0 days 00:00:31.798000 | 0 days 00:00:23.717000 |
| 312 | LEC | 49.0 | 0 days 00:00:23.384000 | 0 days 00:00:31.195000 | 0 days 00:00:23.511000 |
| 313 | LEC | 50.0 | 0 days 00:00:23.392000 | 0 days 00:00:31.270000 | 0 days 00:00:23.520000 |
| 314 | LEC | 51.0 | 0 days 00:00:23.231000 | 0 days 00:00:31.422000 | 0 days 00:00:23.526000 |
| 315 | LEC | 52.0 | 0 days 00:00:23.024000 | 0 days 00:00:31.385000 | 0 days 00:00:23.488000 |
| 316 | LEC | 53.0 | 0 days 00:00:22.828000 | 0 days 00:00:31.462000 | 0 days 00:00:23.666000 |
| 317 | LEC | 54.0 | 0 days 00:00:23.013000 | 0 days 00:00:31.650000 | 0 days 00:00:23.722000 |
| 318 | LEC | 55.0 | 0 days 00:00:23.180000 | 0 days 00:00:31.645000 | 0 days 00:00:23.726000 |
| 319 | LEC | 56.0 | 0 days 00:00:23.266000 | 0 days 00:00:31.643000 | 0 days 00:00:23.621000 |
| 320 | LEC | 57.0 | 0 days 00:00:23.019000 | 0 days 00:00:31.450000 | 0 days 00:00:23.641000 |
| 321 | LEC | 58.0 | 0 days 00:00:22.987000 | 0 days 00:00:31.633000 | 0 days 00:00:23.593000 |
| 322 | LEC | 59.0 | 0 days 00:00:22.924000 | 0 days 00:00:31.683000 | 0 days 00:00:23.578000 |
| 323 | LEC | 60.0 | 0 days 00:00:23.058000 | 0 days 00:00:31.756000 | 0 days 00:00:23.633000 |
| 324 | LEC | 61.0 | 0 days 00:00:23.095000 | 0 days 00:00:31.920000 | 0 days 00:00:23.720000 |
| 325 | LEC | 62.0 | 0 days 00:00:23.040000 | 0 days 00:00:31.729000 | 0 days 00:00:23.764000 |
| 326 | LEC | 63.0 | 0 days 00:00:23.179000 | 0 days 00:00:31.832000 | 0 days 00:00:23.954000 |
| 327 | LEC | 64.0 | 0 days 00:00:22.990000 | 0 days 00:00:32.078000 | 0 days 00:00:23.962000 |
| 328 | LEC | 65.0 | 0 days 00:00:23.054000 | 0 days 00:00:32.141000 | 0 days 00:00:23.879000 |
| 329 | LEC | 66.0 | 0 days 00:00:23.032000 | 0 days 00:00:32.358000 | 0 days 00:00:24.020000 |
| 330 | SAI | 1.0 | NaT | 0 days 00:00:32.887000 | 0 days 00:00:24.488000 |
| 331 | SAI | 2.0 | 0 days 00:00:24.509000 | 0 days 00:00:32.270000 | 0 days 00:00:23.887000 |
| 332 | SAI | 3.0 | 0 days 00:00:23.274000 | 0 days 00:00:32.600000 | 0 days 00:00:24.172000 |
| 333 | SAI | 4.0 | 0 days 00:00:23.954000 | 0 days 00:00:32.539000 | 0 days 00:00:24.133000 |
| 334 | SAI | 5.0 | 0 days 00:00:23.740000 | 0 days 00:00:32.691000 | 0 days 00:00:24.369000 |
| 335 | SAI | 6.0 | 0 days 00:00:23.992000 | 0 days 00:00:32.674000 | 0 days 00:00:24.551000 |
| 336 | SAI | 7.0 | 0 days 00:00:23.894000 | 0 days 00:00:32.857000 | 0 days 00:00:24.395000 |
| 337 | SAI | 8.0 | 0 days 00:00:23.818000 | 0 days 00:00:32.968000 | 0 days 00:00:24.523000 |
| 338 | SAI | 9.0 | 0 days 00:00:23.757000 | 0 days 00:00:32.769000 | 0 days 00:00:24.695000 |
| 339 | SAI | 10.0 | 0 days 00:00:23.630000 | 0 days 00:00:32.824000 | 0 days 00:00:24.598000 |
| 340 | SAI | 11.0 | 0 days 00:00:23.847000 | 0 days 00:00:33.075000 | 0 days 00:00:24.537000 |
| 341 | SAI | 12.0 | 0 days 00:00:23.674000 | 0 days 00:00:33.261000 | 0 days 00:00:24.685000 |
| 342 | SAI | 13.0 | 0 days 00:00:23.603000 | 0 days 00:00:32.984000 | 0 days 00:00:24.576000 |
| 343 | SAI | 14.0 | 0 days 00:00:23.936000 | 0 days 00:00:33.040000 | 0 days 00:00:24.670000 |
| 344 | SAI | 15.0 | 0 days 00:00:23.949000 | 0 days 00:00:33.387000 | 0 days 00:00:28.091000 |
| 345 | SAI | 16.0 | 0 days 00:00:42.464000 | 0 days 00:00:31.527000 | 0 days 00:00:24.073000 |
| 346 | SAI | 17.0 | 0 days 00:00:23.502000 | 0 days 00:00:32.338000 | 0 days 00:00:24.825000 |
| 347 | SAI | 18.0 | 0 days 00:00:23.673000 | 0 days 00:00:32.192000 | 0 days 00:00:23.985000 |
| 348 | SAI | 19.0 | 0 days 00:00:24.599000 | 0 days 00:00:32.517000 | 0 days 00:00:23.963000 |
| 349 | SAI | 20.0 | 0 days 00:00:23.513000 | 0 days 00:00:32.397000 | 0 days 00:00:24.090000 |
| 350 | SAI | 21.0 | 0 days 00:00:23.433000 | 0 days 00:00:32.496000 | 0 days 00:00:24.196000 |
| 351 | SAI | 22.0 | 0 days 00:00:23.450000 | 0 days 00:00:32.324000 | 0 days 00:00:24.178000 |
| 352 | SAI | 23.0 | 0 days 00:00:23.528000 | 0 days 00:00:32.527000 | 0 days 00:00:24.206000 |
| 353 | SAI | 24.0 | 0 days 00:00:23.685000 | 0 days 00:00:32.348000 | 0 days 00:00:24.172000 |
| 354 | SAI | 25.0 | 0 days 00:00:23.433000 | 0 days 00:00:32.307000 | 0 days 00:00:23.969000 |
| 355 | SAI | 26.0 | 0 days 00:00:23.602000 | 0 days 00:00:32.541000 | 0 days 00:00:24.130000 |
| 356 | SAI | 27.0 | 0 days 00:00:24.319000 | 0 days 00:00:33.160000 | 0 days 00:00:24.309000 |
| 357 | SAI | 28.0 | 0 days 00:00:23.586000 | 0 days 00:00:32.544000 | 0 days 00:00:24.328000 |
| 358 | SAI | 29.0 | 0 days 00:00:23.526000 | 0 days 00:00:32.404000 | 0 days 00:00:24.131000 |
| 359 | SAI | 30.0 | 0 days 00:00:23.479000 | 0 days 00:00:32.603000 | 0 days 00:00:24.294000 |
| 360 | SAI | 31.0 | 0 days 00:00:23.717000 | 0 days 00:00:32.660000 | 0 days 00:00:24.265000 |
| 361 | SAI | 32.0 | 0 days 00:00:23.574000 | 0 days 00:00:32.405000 | 0 days 00:00:24.204000 |
| 362 | SAI | 33.0 | 0 days 00:00:23.558000 | 0 days 00:00:32.462000 | 0 days 00:00:24.125000 |
| 363 | SAI | 34.0 | 0 days 00:00:23.608000 | 0 days 00:00:32.573000 | 0 days 00:00:24.050000 |
| 364 | SAI | 35.0 | 0 days 00:00:23.696000 | 0 days 00:00:32.647000 | 0 days 00:00:24.365000 |
| 365 | SAI | 36.0 | 0 days 00:00:23.611000 | 0 days 00:00:32.565000 | 0 days 00:00:27.557000 |
| 366 | SAI | 37.0 | 0 days 00:00:42.747000 | 0 days 00:00:32.119000 | 0 days 00:00:23.726000 |
| 367 | SAI | 38.0 | 0 days 00:00:23.542000 | 0 days 00:00:31.611000 | 0 days 00:00:23.707000 |
| 368 | SAI | 39.0 | 0 days 00:00:22.978000 | 0 days 00:00:31.841000 | 0 days 00:00:23.720000 |
| 369 | SAI | 40.0 | 0 days 00:00:23.328000 | 0 days 00:00:32.103000 | 0 days 00:00:23.753000 |
| 370 | SAI | 41.0 | 0 days 00:00:23.295000 | 0 days 00:00:31.882000 | 0 days 00:00:23.732000 |
| 371 | SAI | 42.0 | 0 days 00:00:23.306000 | 0 days 00:00:32.046000 | 0 days 00:00:23.783000 |
| 372 | SAI | 43.0 | 0 days 00:00:23.202000 | 0 days 00:00:31.990000 | 0 days 00:00:23.965000 |
| 373 | SAI | 44.0 | 0 days 00:00:23.218000 | 0 days 00:00:32.079000 | 0 days 00:00:23.895000 |
| 374 | SAI | 45.0 | 0 days 00:00:23.012000 | 0 days 00:00:32.114000 | 0 days 00:00:24.010000 |
| 375 | SAI | 46.0 | 0 days 00:00:23.859000 | 0 days 00:00:32.266000 | 0 days 00:00:23.907000 |
| 376 | SAI | 47.0 | 0 days 00:00:23.107000 | 0 days 00:00:32.098000 | 0 days 00:00:23.815000 |
| 377 | SAI | 48.0 | 0 days 00:00:23.261000 | 0 days 00:00:32.095000 | 0 days 00:00:23.962000 |
| 378 | SAI | 49.0 | 0 days 00:00:23.310000 | 0 days 00:00:32.162000 | 0 days 00:00:24.048000 |
| 379 | SAI | 50.0 | 0 days 00:00:23.318000 | 0 days 00:00:32.010000 | 0 days 00:00:23.874000 |
| 380 | SAI | 51.0 | 0 days 00:00:23.222000 | 0 days 00:00:32.079000 | 0 days 00:00:23.745000 |
| 381 | SAI | 52.0 | 0 days 00:00:23.208000 | 0 days 00:00:31.965000 | 0 days 00:00:23.873000 |
| 382 | SAI | 53.0 | 0 days 00:00:23.269000 | 0 days 00:00:32.053000 | 0 days 00:00:23.937000 |
| 383 | SAI | 54.0 | 0 days 00:00:23.246000 | 0 days 00:00:32.092000 | 0 days 00:00:23.679000 |
| 384 | SAI | 55.0 | 0 days 00:00:25.063000 | 0 days 00:00:32.341000 | 0 days 00:00:23.930000 |
| 385 | SAI | 56.0 | 0 days 00:00:23.214000 | 0 days 00:00:32.105000 | 0 days 00:00:23.728000 |
| 386 | SAI | 57.0 | 0 days 00:00:23.209000 | 0 days 00:00:31.888000 | 0 days 00:00:23.873000 |
| 387 | SAI | 58.0 | 0 days 00:00:23.127000 | 0 days 00:00:31.958000 | 0 days 00:00:23.786000 |
| 388 | SAI | 59.0 | 0 days 00:00:23.055000 | 0 days 00:00:32.198000 | 0 days 00:00:23.725000 |
| 389 | SAI | 60.0 | 0 days 00:00:23.138000 | 0 days 00:00:32.152000 | 0 days 00:00:23.825000 |
| 390 | SAI | 61.0 | 0 days 00:00:23.096000 | 0 days 00:00:32.198000 | 0 days 00:00:23.857000 |
| 391 | SAI | 62.0 | 0 days 00:00:23.302000 | 0 days 00:00:32.082000 | 0 days 00:00:23.981000 |
| 392 | SAI | 63.0 | 0 days 00:00:23.312000 | 0 days 00:00:32.255000 | 0 days 00:00:23.912000 |
| 393 | SAI | 64.0 | 0 days 00:00:23.282000 | 0 days 00:00:32.247000 | 0 days 00:00:24.006000 |
| 394 | SAI | 65.0 | 0 days 00:00:23.156000 | 0 days 00:00:32.369000 | 0 days 00:00:24.087000 |
| 395 | SAI | 66.0 | 0 days 00:00:23.293000 | 0 days 00:00:32.250000 | 0 days 00:00:24.100000 |
| 396 | PIA | 1.0 | NaT | 0 days 00:00:33.324000 | 0 days 00:00:24.551000 |
| 397 | PIA | 2.0 | 0 days 00:00:24.832000 | 0 days 00:00:32.474000 | 0 days 00:00:24.301000 |
| 398 | PIA | 3.0 | 0 days 00:00:23.771000 | 0 days 00:00:32.438000 | 0 days 00:00:24.556000 |
| 399 | PIA | 4.0 | 0 days 00:00:23.771000 | 0 days 00:00:32.542000 | 0 days 00:00:24.484000 |
| 400 | PIA | 5.0 | 0 days 00:00:23.920000 | 0 days 00:00:32.850000 | 0 days 00:00:24.445000 |
| 401 | PIA | 6.0 | 0 days 00:00:23.977000 | 0 days 00:00:32.600000 | 0 days 00:00:24.479000 |
| 402 | PIA | 7.0 | 0 days 00:00:24.154000 | 0 days 00:00:32.807000 | 0 days 00:00:24.455000 |
| 403 | PIA | 8.0 | 0 days 00:00:24.160000 | 0 days 00:00:32.734000 | 0 days 00:00:24.636000 |
| 404 | PIA | 9.0 | 0 days 00:00:23.980000 | 0 days 00:00:32.838000 | 0 days 00:00:24.682000 |
| 405 | PIA | 10.0 | 0 days 00:00:23.947000 | 0 days 00:00:33.291000 | 0 days 00:00:24.811000 |
| 406 | PIA | 11.0 | 0 days 00:00:23.930000 | 0 days 00:00:32.925000 | 0 days 00:00:24.631000 |
| 407 | PIA | 12.0 | 0 days 00:00:24.017000 | 0 days 00:00:33.034000 | 0 days 00:00:24.632000 |
| 408 | PIA | 13.0 | 0 days 00:00:24.032000 | 0 days 00:00:33.275000 | 0 days 00:00:24.611000 |
| 409 | PIA | 14.0 | 0 days 00:00:24.157000 | 0 days 00:00:33.330000 | 0 days 00:00:24.829000 |
| 410 | PIA | 15.0 | 0 days 00:00:23.996000 | 0 days 00:00:33.043000 | 0 days 00:00:24.453000 |
| 411 | PIA | 16.0 | 0 days 00:00:23.962000 | 0 days 00:00:32.995000 | 0 days 00:00:24.575000 |
| 412 | PIA | 17.0 | 0 days 00:00:24.082000 | 0 days 00:00:33.075000 | 0 days 00:00:24.696000 |
| 413 | PIA | 18.0 | 0 days 00:00:24.072000 | 0 days 00:00:32.850000 | 0 days 00:00:24.583000 |
| 414 | PIA | 19.0 | 0 days 00:00:24.118000 | 0 days 00:00:32.964000 | 0 days 00:00:24.645000 |
| 415 | PIA | 20.0 | 0 days 00:00:24.107000 | 0 days 00:00:33.134000 | 0 days 00:00:24.642000 |
| 416 | PIA | 21.0 | 0 days 00:00:24.239000 | 0 days 00:00:33.985000 | 0 days 00:00:28.840000 |
| 417 | PIA | 22.0 | 0 days 00:00:43.124000 | 0 days 00:00:32.085000 | 0 days 00:00:23.887000 |
| 418 | PIA | 23.0 | 0 days 00:00:23.880000 | 0 days 00:00:32.075000 | 0 days 00:00:23.878000 |
| 419 | PIA | 24.0 | 0 days 00:00:24.021000 | 0 days 00:00:31.945000 | 0 days 00:00:24.025000 |
| 420 | PIA | 25.0 | 0 days 00:00:23.952000 | 0 days 00:00:31.861000 | 0 days 00:00:23.918000 |
| 421 | PIA | 26.0 | 0 days 00:00:23.794000 | 0 days 00:00:32.040000 | 0 days 00:00:24.019000 |
| 422 | PIA | 27.0 | 0 days 00:00:23.559000 | 0 days 00:00:32.298000 | 0 days 00:00:24.374000 |
| 423 | PIA | 28.0 | 0 days 00:00:23.453000 | 0 days 00:00:32.720000 | 0 days 00:00:24.453000 |
| 424 | PIA | 29.0 | 0 days 00:00:23.384000 | 0 days 00:00:32.332000 | 0 days 00:00:24.107000 |
| 425 | PIA | 30.0 | 0 days 00:00:23.747000 | 0 days 00:00:32.188000 | 0 days 00:00:24.075000 |
| 426 | PIA | 31.0 | 0 days 00:00:23.645000 | 0 days 00:00:32.146000 | 0 days 00:00:24.084000 |
| 427 | PIA | 32.0 | 0 days 00:00:23.746000 | 0 days 00:00:32.316000 | 0 days 00:00:24.363000 |
| 428 | PIA | 33.0 | 0 days 00:00:23.953000 | 0 days 00:00:32.245000 | 0 days 00:00:24.345000 |
| 429 | PIA | 34.0 | 0 days 00:00:23.431000 | 0 days 00:00:32.244000 | 0 days 00:00:23.981000 |
| 430 | PIA | 35.0 | 0 days 00:00:23.610000 | 0 days 00:00:32.113000 | 0 days 00:00:24.073000 |
| 431 | PIA | 36.0 | 0 days 00:00:23.615000 | 0 days 00:00:32.128000 | 0 days 00:00:23.985000 |
| 432 | PIA | 37.0 | 0 days 00:00:23.593000 | 0 days 00:00:32.018000 | 0 days 00:00:24.050000 |
| 433 | PIA | 38.0 | 0 days 00:00:23.716000 | 0 days 00:00:32.029000 | 0 days 00:00:24.040000 |
| 434 | PIA | 39.0 | 0 days 00:00:23.588000 | 0 days 00:00:32.133000 | 0 days 00:00:24.059000 |
| 435 | PIA | 40.0 | 0 days 00:00:23.569000 | 0 days 00:00:32.127000 | 0 days 00:00:23.963000 |
| 436 | PIA | 41.0 | 0 days 00:00:23.559000 | 0 days 00:00:32.063000 | 0 days 00:00:24 |
| 437 | PIA | 42.0 | 0 days 00:00:23.578000 | 0 days 00:00:32.223000 | 0 days 00:00:24.129000 |
| 438 | PIA | 43.0 | 0 days 00:00:23.775000 | 0 days 00:00:32.319000 | 0 days 00:00:24.056000 |
| 439 | PIA | 44.0 | 0 days 00:00:23.517000 | 0 days 00:00:32.324000 | 0 days 00:00:24.084000 |
| 440 | PIA | 45.0 | 0 days 00:00:24.009000 | 0 days 00:00:32.526000 | 0 days 00:00:24.132000 |
| 441 | PIA | 46.0 | 0 days 00:00:23.999000 | 0 days 00:00:32.461000 | 0 days 00:00:27.624000 |
| 442 | PIA | 47.0 | 0 days 00:00:42.600000 | 0 days 00:00:31.567000 | 0 days 00:00:23.652000 |
| 443 | PIA | 48.0 | 0 days 00:00:24.009000 | 0 days 00:00:31.743000 | 0 days 00:00:23.565000 |
| 444 | PIA | 49.0 | 0 days 00:00:23.403000 | 0 days 00:00:31.241000 | 0 days 00:00:23.515000 |
| 445 | PIA | 50.0 | 0 days 00:00:23.505000 | 0 days 00:00:31.340000 | 0 days 00:00:23.412000 |
| 446 | PIA | 51.0 | 0 days 00:00:23.519000 | 0 days 00:00:31.295000 | 0 days 00:00:23.367000 |
| 447 | PIA | 52.0 | 0 days 00:00:23.264000 | 0 days 00:00:31.520000 | 0 days 00:00:23.708000 |
| 448 | PIA | 53.0 | 0 days 00:00:23.237000 | 0 days 00:00:31.476000 | 0 days 00:00:23.510000 |
| 449 | PIA | 54.0 | 0 days 00:00:23.236000 | 0 days 00:00:31.564000 | 0 days 00:00:23.554000 |
| 450 | PIA | 55.0 | 0 days 00:00:22.982000 | 0 days 00:00:31.503000 | 0 days 00:00:23.456000 |
| 451 | PIA | 56.0 | 0 days 00:00:23.174000 | 0 days 00:00:31.318000 | 0 days 00:00:23.382000 |
| 452 | PIA | 57.0 | 0 days 00:00:23.142000 | 0 days 00:00:31.491000 | 0 days 00:00:23.660000 |
| 453 | PIA | 58.0 | 0 days 00:00:23.002000 | 0 days 00:00:31.750000 | 0 days 00:00:23.731000 |
| 454 | PIA | 59.0 | 0 days 00:00:23.138000 | 0 days 00:00:31.544000 | 0 days 00:00:23.655000 |
| 455 | PIA | 60.0 | 0 days 00:00:23.096000 | 0 days 00:00:31.606000 | 0 days 00:00:23.427000 |
| 456 | PIA | 61.0 | 0 days 00:00:23.175000 | 0 days 00:00:31.518000 | 0 days 00:00:23.284000 |
| 457 | PIA | 62.0 | 0 days 00:00:23.218000 | 0 days 00:00:31.521000 | 0 days 00:00:23.447000 |
| 458 | PIA | 63.0 | 0 days 00:00:23.243000 | 0 days 00:00:31.740000 | 0 days 00:00:23.604000 |
| 459 | PIA | 64.0 | 0 days 00:00:23.212000 | 0 days 00:00:31.822000 | 0 days 00:00:23.806000 |
| 460 | PIA | 65.0 | 0 days 00:00:23.338000 | 0 days 00:00:31.847000 | 0 days 00:00:24.112000 |
| 461 | PIA | 66.0 | 0 days 00:00:23.295000 | 0 days 00:00:31.975000 | 0 days 00:00:24.024000 |
| 462 | PER | 1.0 | NaT | 0 days 00:00:34.047000 | 0 days 00:00:24.716000 |
| 463 | PER | 2.0 | 0 days 00:00:24.747000 | 0 days 00:00:33.029000 | 0 days 00:00:24.458000 |
| 464 | PER | 3.0 | 0 days 00:00:24.119000 | 0 days 00:00:33.112000 | 0 days 00:00:24.618000 |
| 465 | PER | 4.0 | 0 days 00:00:24.609000 | 0 days 00:00:32.935000 | 0 days 00:00:24.553000 |
| 466 | PER | 5.0 | 0 days 00:00:24.343000 | 0 days 00:00:32.631000 | 0 days 00:00:24.681000 |
| 467 | PER | 6.0 | 0 days 00:00:24.284000 | 0 days 00:00:32.745000 | 0 days 00:00:24.497000 |
| 468 | PER | 7.0 | 0 days 00:00:24.238000 | 0 days 00:00:32.819000 | 0 days 00:00:24.433000 |
| 469 | PER | 8.0 | 0 days 00:00:24.238000 | 0 days 00:00:33.135000 | 0 days 00:00:24.637000 |
| 470 | PER | 9.0 | 0 days 00:00:24.039000 | 0 days 00:00:32.909000 | 0 days 00:00:24.533000 |
| 471 | PER | 10.0 | 0 days 00:00:24.238000 | 0 days 00:00:32.935000 | 0 days 00:00:24.507000 |
| 472 | PER | 11.0 | 0 days 00:00:23.992000 | 0 days 00:00:33.032000 | 0 days 00:00:24.710000 |
| 473 | PER | 12.0 | 0 days 00:00:24.093000 | 0 days 00:00:33.220000 | 0 days 00:00:24.670000 |
| 474 | PER | 13.0 | 0 days 00:00:23.992000 | 0 days 00:00:32.953000 | 0 days 00:00:28.641000 |
| 475 | PER | 14.0 | 0 days 00:00:42.803000 | 0 days 00:00:32.203000 | 0 days 00:00:24.162000 |
| 476 | PER | 15.0 | 0 days 00:00:23.900000 | 0 days 00:00:32.181000 | 0 days 00:00:24.086000 |
| 477 | PER | 16.0 | 0 days 00:00:23.640000 | 0 days 00:00:32.362000 | 0 days 00:00:24.581000 |
| 478 | PER | 17.0 | 0 days 00:00:23.639000 | 0 days 00:00:32.546000 | 0 days 00:00:24.235000 |
| 479 | PER | 18.0 | 0 days 00:00:23.660000 | 0 days 00:00:32.262000 | 0 days 00:00:24.240000 |
| 480 | PER | 19.0 | 0 days 00:00:23.682000 | 0 days 00:00:32.664000 | 0 days 00:00:24.213000 |
| 481 | PER | 20.0 | 0 days 00:00:23.802000 | 0 days 00:00:32.602000 | 0 days 00:00:24.257000 |
| 482 | PER | 21.0 | 0 days 00:00:23.892000 | 0 days 00:00:32.570000 | 0 days 00:00:24.571000 |
| 483 | PER | 22.0 | 0 days 00:00:23.905000 | 0 days 00:00:32.736000 | 0 days 00:00:24.564000 |
| 484 | PER | 23.0 | 0 days 00:00:23.976000 | 0 days 00:00:32.629000 | 0 days 00:00:24.477000 |
| 485 | PER | 24.0 | 0 days 00:00:23.782000 | 0 days 00:00:32.451000 | 0 days 00:00:24.376000 |
| 486 | PER | 25.0 | 0 days 00:00:23.886000 | 0 days 00:00:32.388000 | 0 days 00:00:24.319000 |
| 487 | PER | 26.0 | 0 days 00:00:23.937000 | 0 days 00:00:32.571000 | 0 days 00:00:24.313000 |
| 488 | PER | 27.0 | 0 days 00:00:23.873000 | 0 days 00:00:32.566000 | 0 days 00:00:24.479000 |
| 489 | PER | 28.0 | 0 days 00:00:24.544000 | 0 days 00:00:32.868000 | 0 days 00:00:24.767000 |
| 490 | PER | 29.0 | 0 days 00:00:24.018000 | 0 days 00:00:32.627000 | 0 days 00:00:24.589000 |
| 491 | PER | 30.0 | 0 days 00:00:24.075000 | 0 days 00:00:32.831000 | 0 days 00:00:24.497000 |
| 492 | PER | 31.0 | 0 days 00:00:24.115000 | 0 days 00:00:32.760000 | 0 days 00:00:28.545000 |
| 493 | PER | 32.0 | 0 days 00:00:41.648000 | 0 days 00:00:31.381000 | 0 days 00:00:23.462000 |
| 494 | PER | 33.0 | 0 days 00:00:23.467000 | 0 days 00:00:31.362000 | 0 days 00:00:23.823000 |
| 495 | PER | 34.0 | 0 days 00:00:23.072000 | 0 days 00:00:32.144000 | 0 days 00:00:24.332000 |
| 496 | PER | 35.0 | 0 days 00:00:23.262000 | 0 days 00:00:32.031000 | 0 days 00:00:24.023000 |
| 497 | PER | 36.0 | 0 days 00:00:23.419000 | 0 days 00:00:31.767000 | 0 days 00:00:23.750000 |
| 498 | PER | 37.0 | 0 days 00:00:23.437000 | 0 days 00:00:31.704000 | 0 days 00:00:23.918000 |
| 499 | PER | 38.0 | 0 days 00:00:23.514000 | 0 days 00:00:32.094000 | 0 days 00:00:23.880000 |
| 500 | PER | 39.0 | 0 days 00:00:22.988000 | 0 days 00:00:32.018000 | 0 days 00:00:23.984000 |
| 501 | PER | 40.0 | 0 days 00:00:23.542000 | 0 days 00:00:32.073000 | 0 days 00:00:23.752000 |
| 502 | PER | 41.0 | 0 days 00:00:23.448000 | 0 days 00:00:32.055000 | 0 days 00:00:23.884000 |
| 503 | PER | 42.0 | 0 days 00:00:23.434000 | 0 days 00:00:31.947000 | 0 days 00:00:23.691000 |
| 504 | PER | 43.0 | 0 days 00:00:23.398000 | 0 days 00:00:32.143000 | 0 days 00:00:23.939000 |
| 505 | PER | 44.0 | 0 days 00:00:23.615000 | 0 days 00:00:32.091000 | 0 days 00:00:23.911000 |
| 506 | PER | 45.0 | 0 days 00:00:23.500000 | 0 days 00:00:31.977000 | 0 days 00:00:23.992000 |
| 507 | PER | 46.0 | 0 days 00:00:23.551000 | 0 days 00:00:31.965000 | 0 days 00:00:23.890000 |
| 508 | PER | 47.0 | 0 days 00:00:23.526000 | 0 days 00:00:32.371000 | 0 days 00:00:23.949000 |
| 509 | PER | 48.0 | 0 days 00:00:23.415000 | 0 days 00:00:32.335000 | 0 days 00:00:24.061000 |
| 510 | PER | 49.0 | 0 days 00:00:23.581000 | 0 days 00:00:31.956000 | 0 days 00:00:27.666000 |
| 511 | PER | 50.0 | 0 days 00:00:41.463000 | 0 days 00:00:31.766000 | 0 days 00:00:23.761000 |
| 512 | PER | 51.0 | 0 days 00:00:22.842000 | 0 days 00:00:31.446000 | 0 days 00:00:23.497000 |
| 513 | PER | 52.0 | 0 days 00:00:23.702000 | 0 days 00:00:31.257000 | 0 days 00:00:23.414000 |
| 514 | PER | 53.0 | 0 days 00:00:23.295000 | 0 days 00:00:31.429000 | 0 days 00:00:23.566000 |
| 515 | PER | 54.0 | 0 days 00:00:23.369000 | 0 days 00:00:31.498000 | 0 days 00:00:23.563000 |
| 516 | PER | 55.0 | 0 days 00:00:23.310000 | 0 days 00:00:31.691000 | 0 days 00:00:23.539000 |
| 517 | PER | 56.0 | 0 days 00:00:23.348000 | 0 days 00:00:31.601000 | 0 days 00:00:23.623000 |
| 518 | PER | 57.0 | 0 days 00:00:23.391000 | 0 days 00:00:31.842000 | 0 days 00:00:23.702000 |
| 519 | PER | 58.0 | 0 days 00:00:23.405000 | 0 days 00:00:31.910000 | 0 days 00:00:23.990000 |
| 520 | PER | 59.0 | 0 days 00:00:23.316000 | 0 days 00:00:31.889000 | 0 days 00:00:23.988000 |
| 521 | PER | 60.0 | 0 days 00:00:23.434000 | 0 days 00:00:31.801000 | 0 days 00:00:23.782000 |
| 522 | PER | 61.0 | 0 days 00:00:23.253000 | 0 days 00:00:31.789000 | 0 days 00:00:23.730000 |
| 523 | PER | 62.0 | 0 days 00:00:23.253000 | 0 days 00:00:31.814000 | 0 days 00:00:23.867000 |
| 524 | PER | 63.0 | 0 days 00:00:23.317000 | 0 days 00:00:32.308000 | 0 days 00:00:24.063000 |
| 525 | PER | 64.0 | 0 days 00:00:23.295000 | 0 days 00:00:32.111000 | 0 days 00:00:23.951000 |
| 526 | PER | 65.0 | 0 days 00:00:23.313000 | 0 days 00:00:31.957000 | 0 days 00:00:23.854000 |
| 527 | PER | 66.0 | 0 days 00:00:22.914000 | 0 days 00:00:32.236000 | 0 days 00:00:24.001000 |
| 528 | GAS | 1.0 | NaT | 0 days 00:00:33.021000 | 0 days 00:00:24.482000 |
| 529 | GAS | 2.0 | 0 days 00:00:24.552000 | 0 days 00:00:32.497000 | 0 days 00:00:24.108000 |
| 530 | GAS | 3.0 | 0 days 00:00:23.706000 | 0 days 00:00:32.595000 | 0 days 00:00:24.505000 |
| 531 | GAS | 4.0 | 0 days 00:00:23.732000 | 0 days 00:00:32.560000 | 0 days 00:00:24.387000 |
| 532 | GAS | 5.0 | 0 days 00:00:23.658000 | 0 days 00:00:32.700000 | 0 days 00:00:24.422000 |
| 533 | GAS | 6.0 | 0 days 00:00:23.704000 | 0 days 00:00:32.875000 | 0 days 00:00:24.724000 |
| 534 | GAS | 7.0 | 0 days 00:00:23.775000 | 0 days 00:00:33.065000 | 0 days 00:00:24.785000 |
| 535 | GAS | 8.0 | 0 days 00:00:24.033000 | 0 days 00:00:33.078000 | 0 days 00:00:24.637000 |
| 536 | GAS | 9.0 | 0 days 00:00:24.193000 | 0 days 00:00:32.779000 | 0 days 00:00:24.709000 |
| 537 | GAS | 10.0 | 0 days 00:00:24.215000 | 0 days 00:00:32.839000 | 0 days 00:00:24.657000 |
| 538 | GAS | 11.0 | 0 days 00:00:24.032000 | 0 days 00:00:32.781000 | 0 days 00:00:24.526000 |
| 539 | GAS | 12.0 | 0 days 00:00:23.982000 | 0 days 00:00:32.941000 | 0 days 00:00:24.715000 |
| 540 | GAS | 13.0 | 0 days 00:00:24.060000 | 0 days 00:00:32.924000 | 0 days 00:00:24.694000 |
| 541 | GAS | 14.0 | 0 days 00:00:24.129000 | 0 days 00:00:32.899000 | 0 days 00:00:28.463000 |
| 542 | GAS | 15.0 | 0 days 00:00:46.692000 | 0 days 00:00:32.167000 | 0 days 00:00:23.797000 |
| 543 | GAS | 16.0 | 0 days 00:00:23.629000 | 0 days 00:00:32.248000 | 0 days 00:00:24.112000 |
| 544 | GAS | 17.0 | 0 days 00:00:23.390000 | 0 days 00:00:32.568000 | 0 days 00:00:24.245000 |
| 545 | GAS | 18.0 | 0 days 00:00:23.877000 | 0 days 00:00:32.345000 | 0 days 00:00:24.174000 |
| 546 | GAS | 19.0 | 0 days 00:00:23.766000 | 0 days 00:00:32.431000 | 0 days 00:00:24.235000 |
| 547 | GAS | 20.0 | 0 days 00:00:23.752000 | 0 days 00:00:32.251000 | 0 days 00:00:24.160000 |
| 548 | GAS | 21.0 | 0 days 00:00:23.983000 | 0 days 00:00:32.413000 | 0 days 00:00:24.282000 |
| 549 | GAS | 22.0 | 0 days 00:00:23.763000 | 0 days 00:00:32.387000 | 0 days 00:00:24.394000 |
| 550 | GAS | 23.0 | 0 days 00:00:23.775000 | 0 days 00:00:32.373000 | 0 days 00:00:24.271000 |
| 551 | GAS | 24.0 | 0 days 00:00:23.880000 | 0 days 00:00:32.270000 | 0 days 00:00:24.346000 |
| 552 | GAS | 25.0 | 0 days 00:00:23.996000 | 0 days 00:00:32.305000 | 0 days 00:00:24.336000 |
| 553 | GAS | 26.0 | 0 days 00:00:23.789000 | 0 days 00:00:32.350000 | 0 days 00:00:24.329000 |
| 554 | GAS | 27.0 | 0 days 00:00:24.396000 | 0 days 00:00:32.871000 | 0 days 00:00:24.351000 |
| 555 | GAS | 28.0 | 0 days 00:00:24.013000 | 0 days 00:00:32.620000 | 0 days 00:00:24.648000 |
| 556 | GAS | 29.0 | 0 days 00:00:24.075000 | 0 days 00:00:32.470000 | 0 days 00:00:24.375000 |
| 557 | GAS | 30.0 | 0 days 00:00:23.911000 | 0 days 00:00:32.532000 | 0 days 00:00:24.466000 |
| 558 | GAS | 31.0 | 0 days 00:00:23.918000 | 0 days 00:00:32.550000 | 0 days 00:00:24.476000 |
| 559 | GAS | 32.0 | 0 days 00:00:23.952000 | 0 days 00:00:32.566000 | 0 days 00:00:24.473000 |
| 560 | GAS | 33.0 | 0 days 00:00:23.930000 | 0 days 00:00:32.624000 | 0 days 00:00:24.385000 |
| 561 | GAS | 34.0 | 0 days 00:00:24.861000 | 0 days 00:00:33.003000 | 0 days 00:00:24.670000 |
| 562 | GAS | 35.0 | 0 days 00:00:24.075000 | 0 days 00:00:32.931000 | 0 days 00:00:24.521000 |
| 563 | GAS | 36.0 | 0 days 00:00:24.015000 | 0 days 00:00:32.581000 | 0 days 00:00:24.414000 |
| 564 | GAS | 37.0 | 0 days 00:00:24.056000 | 0 days 00:00:32.568000 | 0 days 00:00:24.658000 |
| 565 | GAS | 38.0 | 0 days 00:00:24.304000 | 0 days 00:00:32.833000 | 0 days 00:00:28.276000 |
| 566 | GAS | 39.0 | 0 days 00:00:42.160000 | 0 days 00:00:31.922000 | 0 days 00:00:23.667000 |
| 567 | GAS | 40.0 | 0 days 00:00:23.454000 | 0 days 00:00:32.084000 | 0 days 00:00:24.001000 |
| 568 | GAS | 41.0 | 0 days 00:00:23.824000 | 0 days 00:00:32.027000 | 0 days 00:00:24.167000 |
| 569 | GAS | 42.0 | 0 days 00:00:23.794000 | 0 days 00:00:31.955000 | 0 days 00:00:23.891000 |
| 570 | GAS | 43.0 | 0 days 00:00:23.766000 | 0 days 00:00:32.062000 | 0 days 00:00:23.997000 |
| 571 | GAS | 44.0 | 0 days 00:00:23.726000 | 0 days 00:00:31.882000 | 0 days 00:00:24.010000 |
| 572 | GAS | 45.0 | 0 days 00:00:23.600000 | 0 days 00:00:31.902000 | 0 days 00:00:24.014000 |
| 573 | GAS | 46.0 | 0 days 00:00:23.643000 | 0 days 00:00:31.805000 | 0 days 00:00:23.993000 |
| 574 | GAS | 47.0 | 0 days 00:00:23.596000 | 0 days 00:00:31.977000 | 0 days 00:00:23.955000 |
| 575 | GAS | 48.0 | 0 days 00:00:23.498000 | 0 days 00:00:31.902000 | 0 days 00:00:24.120000 |
| 576 | GAS | 49.0 | 0 days 00:00:23.541000 | 0 days 00:00:31.754000 | 0 days 00:00:24.055000 |
| 577 | GAS | 50.0 | 0 days 00:00:23.630000 | 0 days 00:00:31.877000 | 0 days 00:00:24.103000 |
| 578 | GAS | 51.0 | 0 days 00:00:23.462000 | 0 days 00:00:31.710000 | 0 days 00:00:23.873000 |
| 579 | GAS | 52.0 | 0 days 00:00:23.512000 | 0 days 00:00:31.681000 | 0 days 00:00:23.886000 |
| 580 | GAS | 53.0 | 0 days 00:00:23.433000 | 0 days 00:00:31.772000 | 0 days 00:00:23.969000 |
| 581 | GAS | 54.0 | 0 days 00:00:23.352000 | 0 days 00:00:31.852000 | 0 days 00:00:23.845000 |
| 582 | GAS | 55.0 | 0 days 00:00:23.343000 | 0 days 00:00:32.048000 | 0 days 00:00:24.075000 |
| 583 | GAS | 56.0 | 0 days 00:00:23.412000 | 0 days 00:00:32.066000 | 0 days 00:00:24.142000 |
| 584 | GAS | 57.0 | 0 days 00:00:23.078000 | 0 days 00:00:32.026000 | 0 days 00:00:24.030000 |
| 585 | GAS | 58.0 | 0 days 00:00:23.396000 | 0 days 00:00:31.805000 | 0 days 00:00:24.046000 |
| 586 | GAS | 59.0 | 0 days 00:00:23.273000 | 0 days 00:00:32.174000 | 0 days 00:00:24.137000 |
| 587 | GAS | 60.0 | 0 days 00:00:23.392000 | 0 days 00:00:32.108000 | 0 days 00:00:24.076000 |
| 588 | GAS | 61.0 | 0 days 00:00:23.373000 | 0 days 00:00:32.206000 | 0 days 00:00:24.083000 |
| 589 | GAS | 62.0 | 0 days 00:00:23.397000 | 0 days 00:00:32.197000 | 0 days 00:00:24.216000 |
| 590 | GAS | 63.0 | 0 days 00:00:23.401000 | 0 days 00:00:32.337000 | 0 days 00:00:24.129000 |
| 591 | GAS | 64.0 | 0 days 00:00:23.355000 | 0 days 00:00:32.509000 | 0 days 00:00:24.190000 |
| 592 | GAS | 65.0 | 0 days 00:00:23.376000 | 0 days 00:00:32.231000 | 0 days 00:00:24.201000 |
| 593 | GAS | 66.0 | 0 days 00:00:24.253000 | 0 days 00:00:33.142000 | 0 days 00:00:24.659000 |
| 594 | OCO | 1.0 | NaT | 0 days 00:00:33.453000 | 0 days 00:00:24.543000 |
| 595 | OCO | 2.0 | 0 days 00:00:24.836000 | 0 days 00:00:32.719000 | 0 days 00:00:24.462000 |
| 596 | OCO | 3.0 | 0 days 00:00:23.898000 | 0 days 00:00:32.515000 | 0 days 00:00:24.396000 |
| 597 | OCO | 4.0 | 0 days 00:00:23.880000 | 0 days 00:00:32.786000 | 0 days 00:00:24.589000 |
| 598 | OCO | 5.0 | 0 days 00:00:24.076000 | 0 days 00:00:32.880000 | 0 days 00:00:24.580000 |
| 599 | OCO | 6.0 | 0 days 00:00:23.913000 | 0 days 00:00:32.806000 | 0 days 00:00:24.571000 |
| 600 | OCO | 7.0 | 0 days 00:00:24.047000 | 0 days 00:00:32.867000 | 0 days 00:00:24.679000 |
| 601 | OCO | 8.0 | 0 days 00:00:24.086000 | 0 days 00:00:33.077000 | 0 days 00:00:24.621000 |
| 602 | OCO | 9.0 | 0 days 00:00:24.178000 | 0 days 00:00:32.836000 | 0 days 00:00:24.776000 |
| 603 | OCO | 10.0 | 0 days 00:00:24.123000 | 0 days 00:00:32.898000 | 0 days 00:00:24.735000 |
| 604 | OCO | 11.0 | 0 days 00:00:24 | 0 days 00:00:33.155000 | 0 days 00:00:24.720000 |
| 605 | OCO | 12.0 | 0 days 00:00:23.937000 | 0 days 00:00:33.139000 | 0 days 00:00:24.829000 |
| 606 | OCO | 13.0 | 0 days 00:00:24.160000 | 0 days 00:00:33.422000 | 0 days 00:00:29.105000 |
| 607 | OCO | 14.0 | 0 days 00:00:42.387000 | 0 days 00:00:32.081000 | 0 days 00:00:24.058000 |
| 608 | OCO | 15.0 | 0 days 00:00:23.463000 | 0 days 00:00:32.235000 | 0 days 00:00:24.185000 |
| 609 | OCO | 16.0 | 0 days 00:00:23.501000 | 0 days 00:00:32.524000 | 0 days 00:00:24.199000 |
| 610 | OCO | 17.0 | 0 days 00:00:24.455000 | 0 days 00:00:32.719000 | 0 days 00:00:24.367000 |
| 611 | OCO | 18.0 | 0 days 00:00:23.689000 | 0 days 00:00:32.466000 | 0 days 00:00:24.416000 |
| 612 | OCO | 19.0 | 0 days 00:00:23.848000 | 0 days 00:00:32.777000 | 0 days 00:00:24.401000 |
| 613 | OCO | 20.0 | 0 days 00:00:23.722000 | 0 days 00:00:32.634000 | 0 days 00:00:24.306000 |
| 614 | OCO | 21.0 | 0 days 00:00:23.703000 | 0 days 00:00:32.593000 | 0 days 00:00:24.472000 |
| 615 | OCO | 22.0 | 0 days 00:00:23.712000 | 0 days 00:00:32.595000 | 0 days 00:00:24.427000 |
| 616 | OCO | 23.0 | 0 days 00:00:23.790000 | 0 days 00:00:32.743000 | 0 days 00:00:24.416000 |
| 617 | OCO | 24.0 | 0 days 00:00:23.766000 | 0 days 00:00:32.433000 | 0 days 00:00:24.371000 |
| 618 | OCO | 25.0 | 0 days 00:00:24.187000 | 0 days 00:00:32.801000 | 0 days 00:00:24.369000 |
| 619 | OCO | 26.0 | 0 days 00:00:23.790000 | 0 days 00:00:32.766000 | 0 days 00:00:24.477000 |
| 620 | OCO | 27.0 | 0 days 00:00:23.881000 | 0 days 00:00:32.761000 | 0 days 00:00:24.627000 |
| 621 | OCO | 28.0 | 0 days 00:00:24.026000 | 0 days 00:00:32.858000 | 0 days 00:00:24.760000 |
| 622 | OCO | 29.0 | 0 days 00:00:24.460000 | 0 days 00:00:33.088000 | 0 days 00:00:24.668000 |
| 623 | OCO | 30.0 | 0 days 00:00:25.024000 | 0 days 00:00:33.406000 | 0 days 00:00:24.918000 |
| 624 | OCO | 31.0 | 0 days 00:00:23.987000 | 0 days 00:00:32.977000 | 0 days 00:00:24.812000 |
| 625 | OCO | 32.0 | 0 days 00:00:23.868000 | 0 days 00:00:32.766000 | 0 days 00:00:24.560000 |
| 626 | OCO | 33.0 | 0 days 00:00:23.913000 | 0 days 00:00:32.823000 | 0 days 00:00:24.697000 |
| 627 | OCO | 34.0 | 0 days 00:00:23.793000 | 0 days 00:00:33.017000 | 0 days 00:00:24.669000 |
| 628 | OCO | 35.0 | 0 days 00:00:24.075000 | 0 days 00:00:32.884000 | 0 days 00:00:24.743000 |
| 629 | OCO | 36.0 | 0 days 00:00:24.016000 | 0 days 00:00:32.846000 | 0 days 00:00:24.561000 |
| 630 | OCO | 37.0 | 0 days 00:00:24.080000 | 0 days 00:00:32.630000 | 0 days 00:00:28.668000 |
| 631 | OCO | 38.0 | 0 days 00:00:42.508000 | 0 days 00:00:31.502000 | 0 days 00:00:23.662000 |
| 632 | OCO | 39.0 | 0 days 00:00:23.498000 | 0 days 00:00:33.052000 | 0 days 00:00:24.926000 |
| 633 | OCO | 40.0 | 0 days 00:00:23.288000 | 0 days 00:00:32.322000 | 0 days 00:00:23.982000 |
| 634 | OCO | 41.0 | 0 days 00:00:23.725000 | 0 days 00:00:32.067000 | 0 days 00:00:24.097000 |
| 635 | OCO | 42.0 | 0 days 00:00:23.753000 | 0 days 00:00:31.854000 | 0 days 00:00:24.098000 |
| 636 | OCO | 43.0 | 0 days 00:00:23.567000 | 0 days 00:00:32.096000 | 0 days 00:00:23.963000 |
| 637 | OCO | 44.0 | 0 days 00:00:23.523000 | 0 days 00:00:32.183000 | 0 days 00:00:24.104000 |
| 638 | OCO | 45.0 | 0 days 00:00:23.545000 | 0 days 00:00:31.896000 | 0 days 00:00:24.265000 |
| 639 | OCO | 46.0 | 0 days 00:00:23.191000 | 0 days 00:00:32.123000 | 0 days 00:00:24.211000 |
| 640 | OCO | 47.0 | 0 days 00:00:23.710000 | 0 days 00:00:32.025000 | 0 days 00:00:24.067000 |
| 641 | OCO | 48.0 | 0 days 00:00:23.583000 | 0 days 00:00:31.781000 | 0 days 00:00:24.104000 |
| 642 | OCO | 49.0 | 0 days 00:00:23.617000 | 0 days 00:00:31.927000 | 0 days 00:00:24.070000 |
| 643 | OCO | 50.0 | 0 days 00:00:23.674000 | 0 days 00:00:31.945000 | 0 days 00:00:23.982000 |
| 644 | OCO | 51.0 | 0 days 00:00:24.041000 | 0 days 00:00:32.094000 | 0 days 00:00:23.875000 |
| 645 | OCO | 52.0 | 0 days 00:00:23.537000 | 0 days 00:00:31.792000 | 0 days 00:00:23.992000 |
| 646 | OCO | 53.0 | 0 days 00:00:23.429000 | 0 days 00:00:31.802000 | 0 days 00:00:23.830000 |
| 647 | OCO | 54.0 | 0 days 00:00:23.310000 | 0 days 00:00:31.760000 | 0 days 00:00:23.912000 |
| 648 | OCO | 55.0 | 0 days 00:00:23.362000 | 0 days 00:00:31.927000 | 0 days 00:00:23.995000 |
| 649 | OCO | 56.0 | 0 days 00:00:23.346000 | 0 days 00:00:31.988000 | 0 days 00:00:23.926000 |
| 650 | OCO | 57.0 | 0 days 00:00:23.372000 | 0 days 00:00:31.923000 | 0 days 00:00:24.029000 |
| 651 | OCO | 58.0 | 0 days 00:00:23.431000 | 0 days 00:00:31.934000 | 0 days 00:00:24.199000 |
| 652 | OCO | 59.0 | 0 days 00:00:23.437000 | 0 days 00:00:32.208000 | 0 days 00:00:24.151000 |
| 653 | OCO | 60.0 | 0 days 00:00:23.517000 | 0 days 00:00:32.197000 | 0 days 00:00:24.182000 |
| 654 | OCO | 61.0 | 0 days 00:00:23.593000 | 0 days 00:00:32.478000 | 0 days 00:00:23.970000 |
| 655 | OCO | 62.0 | 0 days 00:00:23.441000 | 0 days 00:00:32.141000 | 0 days 00:00:24.105000 |
| 656 | OCO | 63.0 | 0 days 00:00:23.495000 | 0 days 00:00:32.073000 | 0 days 00:00:24.019000 |
| 657 | OCO | 64.0 | 0 days 00:00:23.426000 | 0 days 00:00:32.202000 | 0 days 00:00:24.123000 |
| 658 | OCO | 65.0 | 0 days 00:00:23.426000 | 0 days 00:00:32.250000 | 0 days 00:00:24.264000 |
| 659 | OCO | 66.0 | 0 days 00:00:23.520000 | 0 days 00:00:32.439000 | 0 days 00:00:24.704000 |
| 660 | HUL | 1.0 | NaT | 0 days 00:00:33.296000 | 0 days 00:00:24.595000 |
| 661 | HUL | 2.0 | 0 days 00:00:24.709000 | 0 days 00:00:32.944000 | 0 days 00:00:24.431000 |
| 662 | HUL | 3.0 | 0 days 00:00:24.077000 | 0 days 00:00:32.734000 | 0 days 00:00:24.572000 |
| 663 | HUL | 4.0 | 0 days 00:00:24.264000 | 0 days 00:00:32.915000 | 0 days 00:00:24.770000 |
| 664 | HUL | 5.0 | 0 days 00:00:24.240000 | 0 days 00:00:32.738000 | 0 days 00:00:24.880000 |
| 665 | HUL | 6.0 | 0 days 00:00:24.207000 | 0 days 00:00:32.663000 | 0 days 00:00:24.675000 |
| 666 | HUL | 7.0 | 0 days 00:00:24.314000 | 0 days 00:00:32.858000 | 0 days 00:00:24.526000 |
| 667 | HUL | 8.0 | 0 days 00:00:24.256000 | 0 days 00:00:32.885000 | 0 days 00:00:24.700000 |
| 668 | HUL | 9.0 | 0 days 00:00:24.118000 | 0 days 00:00:32.786000 | 0 days 00:00:24.725000 |
| 669 | HUL | 10.0 | 0 days 00:00:24.137000 | 0 days 00:00:32.918000 | 0 days 00:00:24.797000 |
| 670 | HUL | 11.0 | 0 days 00:00:24.153000 | 0 days 00:00:33.115000 | 0 days 00:00:24.726000 |
| 671 | HUL | 12.0 | 0 days 00:00:25.179000 | 0 days 00:00:33.707000 | 0 days 00:00:28.591000 |
| 672 | HUL | 13.0 | 0 days 00:00:43.465000 | 0 days 00:00:32.366000 | 0 days 00:00:24.564000 |
| 673 | HUL | 14.0 | 0 days 00:00:24.201000 | 0 days 00:00:32.393000 | 0 days 00:00:24.104000 |
| 674 | HUL | 15.0 | 0 days 00:00:23.841000 | 0 days 00:00:32.415000 | 0 days 00:00:24.056000 |
| 675 | HUL | 16.0 | 0 days 00:00:23.994000 | 0 days 00:00:32.639000 | 0 days 00:00:24.492000 |
| 676 | HUL | 17.0 | 0 days 00:00:23.899000 | 0 days 00:00:32.851000 | 0 days 00:00:24.678000 |
| 677 | HUL | 18.0 | 0 days 00:00:23.718000 | 0 days 00:00:32.714000 | 0 days 00:00:24.324000 |
| 678 | HUL | 19.0 | 0 days 00:00:24.139000 | 0 days 00:00:32.926000 | 0 days 00:00:24.109000 |
| 679 | HUL | 20.0 | 0 days 00:00:23.959000 | 0 days 00:00:32.797000 | 0 days 00:00:24.381000 |
| 680 | HUL | 21.0 | 0 days 00:00:23.945000 | 0 days 00:00:32.813000 | 0 days 00:00:24.447000 |
| 681 | HUL | 22.0 | 0 days 00:00:24.152000 | 0 days 00:00:33.108000 | 0 days 00:00:24.914000 |
| 682 | HUL | 23.0 | 0 days 00:00:23.982000 | 0 days 00:00:33.081000 | 0 days 00:00:24.564000 |
| 683 | HUL | 24.0 | 0 days 00:00:23.768000 | 0 days 00:00:32.645000 | 0 days 00:00:24.494000 |
| 684 | HUL | 25.0 | 0 days 00:00:23.791000 | 0 days 00:00:32.787000 | 0 days 00:00:24.475000 |
| 685 | HUL | 26.0 | 0 days 00:00:23.836000 | 0 days 00:00:32.789000 | 0 days 00:00:24.347000 |
| 686 | HUL | 27.0 | 0 days 00:00:24.039000 | 0 days 00:00:32.850000 | 0 days 00:00:24.531000 |
| 687 | HUL | 28.0 | 0 days 00:00:24.034000 | 0 days 00:00:32.678000 | 0 days 00:00:24.378000 |
| 688 | HUL | 29.0 | 0 days 00:00:23.967000 | 0 days 00:00:32.696000 | 0 days 00:00:24.316000 |
| 689 | HUL | 30.0 | 0 days 00:00:24.008000 | 0 days 00:00:32.793000 | 0 days 00:00:24.397000 |
| 690 | HUL | 31.0 | 0 days 00:00:23.904000 | 0 days 00:00:32.871000 | 0 days 00:00:24.539000 |
| 691 | HUL | 32.0 | 0 days 00:00:24.032000 | 0 days 00:00:32.817000 | 0 days 00:00:24.596000 |
| 692 | HUL | 33.0 | 0 days 00:00:23.791000 | 0 days 00:00:32.985000 | 0 days 00:00:24.427000 |
| 693 | HUL | 34.0 | 0 days 00:00:23.962000 | 0 days 00:00:33.202000 | 0 days 00:00:24.463000 |
| 694 | HUL | 35.0 | 0 days 00:00:23.982000 | 0 days 00:00:32.904000 | 0 days 00:00:24.369000 |
| 695 | HUL | 36.0 | 0 days 00:00:23.891000 | 0 days 00:00:32.891000 | 0 days 00:00:24.258000 |
| 696 | HUL | 37.0 | 0 days 00:00:23.841000 | 0 days 00:00:32.654000 | 0 days 00:00:24.525000 |
| 697 | HUL | 38.0 | 0 days 00:00:23.841000 | 0 days 00:00:32.799000 | 0 days 00:00:27.902000 |
| 698 | HUL | 39.0 | 0 days 00:00:43.076000 | 0 days 00:00:32.356000 | 0 days 00:00:24.022000 |
| 699 | HUL | 40.0 | 0 days 00:00:23.972000 | 0 days 00:00:32.485000 | 0 days 00:00:23.995000 |
| 700 | HUL | 41.0 | 0 days 00:00:23.878000 | 0 days 00:00:32.400000 | 0 days 00:00:23.844000 |
| 701 | HUL | 42.0 | 0 days 00:00:23.526000 | 0 days 00:00:32.520000 | 0 days 00:00:24.310000 |
| 702 | HUL | 43.0 | 0 days 00:00:23.178000 | 0 days 00:00:32.208000 | 0 days 00:00:23.637000 |
| 703 | HUL | 44.0 | 0 days 00:00:23.500000 | 0 days 00:00:32.203000 | 0 days 00:00:23.829000 |
| 704 | HUL | 45.0 | 0 days 00:00:23.512000 | 0 days 00:00:32.122000 | 0 days 00:00:23.781000 |
| 705 | HUL | 46.0 | 0 days 00:00:23.556000 | 0 days 00:00:31.906000 | 0 days 00:00:23.901000 |
| 706 | HUL | 47.0 | 0 days 00:00:23.413000 | 0 days 00:00:32.017000 | 0 days 00:00:23.834000 |
| 707 | HUL | 48.0 | 0 days 00:00:23.295000 | 0 days 00:00:31.985000 | 0 days 00:00:23.636000 |
| 708 | HUL | 49.0 | 0 days 00:00:23.393000 | 0 days 00:00:31.701000 | 0 days 00:00:23.515000 |
| 709 | HUL | 50.0 | 0 days 00:00:23.471000 | 0 days 00:00:32.042000 | 0 days 00:00:23.637000 |
| 710 | HUL | 51.0 | 0 days 00:00:23.380000 | 0 days 00:00:31.904000 | 0 days 00:00:23.659000 |
| 711 | HUL | 52.0 | 0 days 00:00:23.348000 | 0 days 00:00:31.678000 | 0 days 00:00:24.081000 |
| 712 | HUL | 53.0 | 0 days 00:00:23.359000 | 0 days 00:00:31.946000 | 0 days 00:00:23.819000 |
| 713 | HUL | 54.0 | 0 days 00:00:23.329000 | 0 days 00:00:32.227000 | 0 days 00:00:23.895000 |
| 714 | HUL | 55.0 | 0 days 00:00:23.440000 | 0 days 00:00:32.327000 | 0 days 00:00:23.792000 |
| 715 | HUL | 56.0 | 0 days 00:00:23.303000 | 0 days 00:00:32.070000 | 0 days 00:00:23.790000 |
| 716 | HUL | 57.0 | 0 days 00:00:23.391000 | 0 days 00:00:32.269000 | 0 days 00:00:24.044000 |
| 717 | HUL | 58.0 | 0 days 00:00:23.552000 | 0 days 00:00:32.204000 | 0 days 00:00:23.905000 |
| 718 | HUL | 59.0 | 0 days 00:00:23.575000 | 0 days 00:00:32.561000 | 0 days 00:00:23.879000 |
| 719 | HUL | 60.0 | 0 days 00:00:23.528000 | 0 days 00:00:32.168000 | 0 days 00:00:23.876000 |
| 720 | HUL | 61.0 | 0 days 00:00:23.596000 | 0 days 00:00:32.417000 | 0 days 00:00:23.859000 |
| 721 | HUL | 62.0 | 0 days 00:00:23.378000 | 0 days 00:00:32.082000 | 0 days 00:00:23.844000 |
| 722 | HUL | 63.0 | 0 days 00:00:23.361000 | 0 days 00:00:32.292000 | 0 days 00:00:24.007000 |
| 723 | HUL | 64.0 | 0 days 00:00:23.348000 | 0 days 00:00:32.410000 | 0 days 00:00:24.227000 |
| 724 | HUL | 65.0 | 0 days 00:00:23.571000 | 0 days 00:00:32.418000 | 0 days 00:00:24.175000 |
| 725 | HUL | 66.0 | 0 days 00:00:23.610000 | 0 days 00:00:32.975000 | 0 days 00:00:24.541000 |
| 726 | ALO | 1.0 | NaT | 0 days 00:00:34.297000 | 0 days 00:00:24.939000 |
| 727 | ALO | 2.0 | 0 days 00:00:24.875000 | 0 days 00:00:33.131000 | 0 days 00:00:24.495000 |
| 728 | ALO | 3.0 | 0 days 00:00:24.139000 | 0 days 00:00:33.133000 | 0 days 00:00:24.640000 |
| 729 | ALO | 4.0 | 0 days 00:00:24.476000 | 0 days 00:00:32.834000 | 0 days 00:00:24.645000 |
| 730 | ALO | 5.0 | 0 days 00:00:24.738000 | 0 days 00:00:33.163000 | 0 days 00:00:24.692000 |
| 731 | ALO | 6.0 | 0 days 00:00:25.168000 | 0 days 00:00:33.393000 | 0 days 00:00:24.975000 |
| 732 | ALO | 7.0 | 0 days 00:00:25.062000 | 0 days 00:00:33.592000 | 0 days 00:00:24.802000 |
| 733 | ALO | 8.0 | 0 days 00:00:24.539000 | 0 days 00:00:33.121000 | 0 days 00:00:24.882000 |
| 734 | ALO | 9.0 | 0 days 00:00:24.478000 | 0 days 00:00:33.105000 | 0 days 00:00:24.770000 |
| 735 | ALO | 10.0 | 0 days 00:00:24.163000 | 0 days 00:00:33.342000 | 0 days 00:00:24.921000 |
| 736 | ALO | 11.0 | 0 days 00:00:24.088000 | 0 days 00:00:33.208000 | 0 days 00:00:24.659000 |
| 737 | ALO | 12.0 | 0 days 00:00:23.522000 | 0 days 00:00:32.955000 | 0 days 00:00:24.573000 |
| 738 | ALO | 13.0 | 0 days 00:00:23.939000 | 0 days 00:00:33.041000 | 0 days 00:00:24.609000 |
| 739 | ALO | 14.0 | 0 days 00:00:24.127000 | 0 days 00:00:33.106000 | 0 days 00:00:24.622000 |
| 740 | ALO | 15.0 | 0 days 00:00:24.135000 | 0 days 00:00:33.028000 | 0 days 00:00:24.677000 |
| 741 | ALO | 16.0 | 0 days 00:00:24.112000 | 0 days 00:00:33.200000 | 0 days 00:00:25.234000 |
| 742 | ALO | 17.0 | 0 days 00:00:24.418000 | 0 days 00:00:33.828000 | 0 days 00:00:25.014000 |
| 743 | ALO | 18.0 | 0 days 00:00:24.046000 | 0 days 00:00:33.283000 | 0 days 00:00:24.857000 |
| 744 | ALO | 19.0 | 0 days 00:00:23.980000 | 0 days 00:00:33.249000 | 0 days 00:00:28.069000 |
| 745 | ALO | 20.0 | 0 days 00:00:42.269000 | 0 days 00:00:32.491000 | 0 days 00:00:23.969000 |
| 746 | ALO | 21.0 | 0 days 00:00:24.016000 | 0 days 00:00:32.243000 | 0 days 00:00:24.229000 |
| 747 | ALO | 22.0 | 0 days 00:00:23.878000 | 0 days 00:00:32.065000 | 0 days 00:00:24.402000 |
| 748 | ALO | 23.0 | 0 days 00:00:23.601000 | 0 days 00:00:32.758000 | 0 days 00:00:24.414000 |
| 749 | ALO | 24.0 | 0 days 00:00:23.937000 | 0 days 00:00:32.668000 | 0 days 00:00:24.535000 |
| 750 | ALO | 25.0 | 0 days 00:00:23.973000 | 0 days 00:00:32.708000 | 0 days 00:00:24.518000 |
| 751 | ALO | 26.0 | 0 days 00:00:23.992000 | 0 days 00:00:32.873000 | 0 days 00:00:24.426000 |
| 752 | ALO | 27.0 | 0 days 00:00:23.701000 | 0 days 00:00:32.976000 | 0 days 00:00:24.714000 |
| 753 | ALO | 28.0 | 0 days 00:00:24.085000 | 0 days 00:00:32.694000 | 0 days 00:00:24.632000 |
| 754 | ALO | 29.0 | 0 days 00:00:24.059000 | 0 days 00:00:32.717000 | 0 days 00:00:24.681000 |
| 755 | ALO | 30.0 | 0 days 00:00:23.970000 | 0 days 00:00:32.865000 | 0 days 00:00:24.591000 |
| 756 | ALO | 31.0 | 0 days 00:00:23.980000 | 0 days 00:00:32.714000 | 0 days 00:00:24.582000 |
| 757 | ALO | 32.0 | 0 days 00:00:23.812000 | 0 days 00:00:32.586000 | 0 days 00:00:24.506000 |
| 758 | ALO | 33.0 | 0 days 00:00:23.995000 | 0 days 00:00:32.531000 | 0 days 00:00:24.567000 |
| 759 | ALO | 34.0 | 0 days 00:00:24.356000 | 0 days 00:00:32.978000 | 0 days 00:00:24.582000 |
| 760 | ALO | 35.0 | 0 days 00:00:23.910000 | 0 days 00:00:32.830000 | 0 days 00:00:24.452000 |
| 761 | ALO | 36.0 | 0 days 00:00:23.821000 | 0 days 00:00:32.832000 | 0 days 00:00:24.375000 |
| 762 | ALO | 37.0 | 0 days 00:00:23.700000 | 0 days 00:00:32.695000 | 0 days 00:00:24.598000 |
| 763 | ALO | 38.0 | 0 days 00:00:23.443000 | 0 days 00:00:32.611000 | 0 days 00:00:24.482000 |
| 764 | ALO | 39.0 | 0 days 00:00:24.745000 | 0 days 00:00:33.187000 | 0 days 00:00:24.450000 |
| 765 | ALO | 40.0 | 0 days 00:00:23.732000 | 0 days 00:00:32.996000 | 0 days 00:00:24.385000 |
| 766 | ALO | 41.0 | 0 days 00:00:23.768000 | 0 days 00:00:32.839000 | 0 days 00:00:24.532000 |
| 767 | ALO | 42.0 | 0 days 00:00:23.553000 | 0 days 00:00:32.659000 | 0 days 00:00:24.325000 |
| 768 | ALO | 43.0 | 0 days 00:00:23.528000 | 0 days 00:00:32.658000 | 0 days 00:00:24.249000 |
| 769 | ALO | 44.0 | 0 days 00:00:23.642000 | 0 days 00:00:32.584000 | 0 days 00:00:24.313000 |
| 770 | ALO | 45.0 | 0 days 00:00:23.588000 | 0 days 00:00:32.568000 | 0 days 00:00:27.876000 |
| 771 | ALO | 46.0 | 0 days 00:00:42.698000 | 0 days 00:00:32.142000 | 0 days 00:00:23.468000 |
| 772 | ALO | 47.0 | 0 days 00:00:23.569000 | 0 days 00:00:31.718000 | 0 days 00:00:23.685000 |
| 773 | ALO | 48.0 | 0 days 00:00:23.316000 | 0 days 00:00:31.736000 | 0 days 00:00:23.675000 |
| 774 | ALO | 49.0 | 0 days 00:00:23.312000 | 0 days 00:00:31.771000 | 0 days 00:00:23.636000 |
| 775 | ALO | 50.0 | 0 days 00:00:23.140000 | 0 days 00:00:31.550000 | 0 days 00:00:23.644000 |
| 776 | ALO | 51.0 | 0 days 00:00:23.283000 | 0 days 00:00:31.868000 | 0 days 00:00:23.751000 |
| 777 | ALO | 52.0 | 0 days 00:00:23.532000 | 0 days 00:00:32.244000 | 0 days 00:00:23.890000 |
| 778 | ALO | 53.0 | 0 days 00:00:22.749000 | 0 days 00:00:32.102000 | 0 days 00:00:23.861000 |
| 779 | ALO | 54.0 | 0 days 00:00:23.437000 | 0 days 00:00:32.168000 | 0 days 00:00:23.810000 |
| 780 | ALO | 55.0 | 0 days 00:00:23.254000 | 0 days 00:00:32.178000 | 0 days 00:00:23.848000 |
| 781 | ALO | 56.0 | 0 days 00:00:23.156000 | 0 days 00:00:31.899000 | 0 days 00:00:23.970000 |
| 782 | ALO | 57.0 | 0 days 00:00:23.178000 | 0 days 00:00:33.794000 | 0 days 00:00:24.031000 |
| 783 | ALO | 58.0 | 0 days 00:00:23.331000 | 0 days 00:00:32.201000 | 0 days 00:00:23.823000 |
| 784 | ALO | 59.0 | 0 days 00:00:23.232000 | 0 days 00:00:32.332000 | 0 days 00:00:24.312000 |
| 785 | ALO | 60.0 | 0 days 00:00:23.993000 | 0 days 00:00:32.495000 | 0 days 00:00:24.095000 |
| 786 | ALO | 61.0 | 0 days 00:00:23.333000 | 0 days 00:00:32.200000 | 0 days 00:00:24.119000 |
| 787 | ALO | 62.0 | 0 days 00:00:23.250000 | 0 days 00:00:32.320000 | 0 days 00:00:24.047000 |
| 788 | ALO | 63.0 | 0 days 00:00:23.261000 | 0 days 00:00:32.186000 | 0 days 00:00:24.193000 |
| 789 | ALO | 64.0 | 0 days 00:00:23.121000 | 0 days 00:00:32.241000 | 0 days 00:00:24.025000 |
| 790 | ALO | 65.0 | 0 days 00:00:23.242000 | 0 days 00:00:32.339000 | 0 days 00:00:24.162000 |
| 791 | ZHO | 1.0 | NaT | 0 days 00:00:35.143000 | 0 days 00:00:25.168000 |
| 792 | ZHO | 2.0 | 0 days 00:00:24.721000 | 0 days 00:00:33.482000 | 0 days 00:00:24.813000 |
| 793 | ZHO | 3.0 | 0 days 00:00:24.001000 | 0 days 00:00:33.487000 | 0 days 00:00:25.028000 |
| 794 | ZHO | 4.0 | 0 days 00:00:23.827000 | 0 days 00:00:33.607000 | 0 days 00:00:24.924000 |
| 795 | ZHO | 5.0 | 0 days 00:00:23.736000 | 0 days 00:00:33.970000 | 0 days 00:00:25.104000 |
| 796 | ZHO | 6.0 | 0 days 00:00:24.330000 | 0 days 00:00:33.486000 | 0 days 00:00:25.135000 |
| 797 | ZHO | 7.0 | 0 days 00:00:24.359000 | 0 days 00:00:33.437000 | 0 days 00:00:24.691000 |
| 798 | ZHO | 8.0 | 0 days 00:00:24.328000 | 0 days 00:00:33.410000 | 0 days 00:00:24.832000 |
| 799 | ZHO | 9.0 | 0 days 00:00:24.124000 | 0 days 00:00:33.253000 | 0 days 00:00:28.512000 |
| 800 | ZHO | 10.0 | 0 days 00:00:43.139000 | 0 days 00:00:31.561000 | 0 days 00:00:23.615000 |
| 801 | ZHO | 11.0 | 0 days 00:00:23.787000 | 0 days 00:00:32.321000 | 0 days 00:00:24.111000 |
| 802 | ZHO | 12.0 | 0 days 00:00:23.800000 | 0 days 00:00:32.233000 | 0 days 00:00:24.118000 |
| 803 | ZHO | 13.0 | 0 days 00:00:23.984000 | 0 days 00:00:32.485000 | 0 days 00:00:24.270000 |
| 804 | ZHO | 14.0 | 0 days 00:00:24.641000 | 0 days 00:00:32.689000 | 0 days 00:00:24.539000 |
| 805 | ZHO | 15.0 | 0 days 00:00:23.987000 | 0 days 00:00:32.866000 | 0 days 00:00:24.523000 |
| 806 | ZHO | 16.0 | 0 days 00:00:23.905000 | 0 days 00:00:32.868000 | 0 days 00:00:24.609000 |
| 807 | ZHO | 17.0 | 0 days 00:00:24.032000 | 0 days 00:00:32.922000 | 0 days 00:00:24.653000 |
| 808 | ZHO | 18.0 | 0 days 00:00:24 | 0 days 00:00:32.816000 | 0 days 00:00:24.730000 |
| 809 | ZHO | 19.0 | 0 days 00:00:23.913000 | 0 days 00:00:32.812000 | 0 days 00:00:24.654000 |
| 810 | ZHO | 20.0 | 0 days 00:00:23.989000 | 0 days 00:00:32.877000 | 0 days 00:00:24.646000 |
| 811 | ZHO | 21.0 | 0 days 00:00:24.069000 | 0 days 00:00:32.945000 | 0 days 00:00:24.776000 |
| 812 | ZHO | 22.0 | 0 days 00:00:24.061000 | 0 days 00:00:32.900000 | 0 days 00:00:24.710000 |
| 813 | ZHO | 23.0 | 0 days 00:00:24.037000 | 0 days 00:00:33.018000 | 0 days 00:00:24.741000 |
| 814 | ZHO | 24.0 | 0 days 00:00:24.035000 | 0 days 00:00:32.950000 | 0 days 00:00:24.576000 |
| 815 | ZHO | 25.0 | 0 days 00:00:23.304000 | 0 days 00:00:32.601000 | 0 days 00:00:24.564000 |
| 816 | ZHO | 26.0 | 0 days 00:00:23.922000 | 0 days 00:00:32.775000 | 0 days 00:00:24.571000 |
| 817 | ZHO | 27.0 | 0 days 00:00:23.867000 | 0 days 00:00:32.633000 | 0 days 00:00:24.679000 |
| 818 | ZHO | 28.0 | 0 days 00:00:23.984000 | 0 days 00:00:32.664000 | 0 days 00:00:24.606000 |
| 819 | ZHO | 29.0 | 0 days 00:00:23.896000 | 0 days 00:00:32.583000 | 0 days 00:00:24.578000 |
| 820 | ZHO | 30.0 | 0 days 00:00:23.806000 | 0 days 00:00:32.986000 | 0 days 00:00:24.679000 |
| 821 | ZHO | 31.0 | 0 days 00:00:23.852000 | 0 days 00:00:32.847000 | 0 days 00:00:24.727000 |
| 822 | ZHO | 32.0 | 0 days 00:00:23.968000 | 0 days 00:00:32.807000 | 0 days 00:00:24.612000 |
| 823 | ZHO | 33.0 | 0 days 00:00:23.865000 | 0 days 00:00:32.618000 | 0 days 00:00:24.512000 |
| 824 | ZHO | 34.0 | 0 days 00:00:23.828000 | 0 days 00:00:32.884000 | 0 days 00:00:24.561000 |
| 825 | ZHO | 35.0 | 0 days 00:00:23.930000 | 0 days 00:00:32.824000 | 0 days 00:00:24.664000 |
| 826 | ZHO | 36.0 | 0 days 00:00:24.555000 | 0 days 00:00:32.972000 | 0 days 00:00:24.625000 |
| 827 | ZHO | 37.0 | 0 days 00:00:23.958000 | 0 days 00:00:32.805000 | 0 days 00:00:24.760000 |
| 828 | ZHO | 38.0 | 0 days 00:00:23.867000 | 0 days 00:00:32.754000 | 0 days 00:00:24.609000 |
| 829 | ZHO | 39.0 | 0 days 00:00:23.778000 | 0 days 00:00:32.895000 | 0 days 00:00:24.713000 |
| 830 | ZHO | 40.0 | 0 days 00:00:24.512000 | 0 days 00:00:33.199000 | 0 days 00:00:24.508000 |
| 831 | ZHO | 41.0 | 0 days 00:00:23.907000 | 0 days 00:00:33.106000 | 0 days 00:00:28.622000 |
| 832 | ZHO | 42.0 | 0 days 00:00:45.438000 | 0 days 00:00:32.293000 | 0 days 00:00:24.177000 |
| 833 | ZHO | 43.0 | 0 days 00:00:23.153000 | 0 days 00:00:31.989000 | 0 days 00:00:23.837000 |
| 834 | ZHO | 44.0 | 0 days 00:00:23.154000 | 0 days 00:00:32.174000 | 0 days 00:00:23.918000 |
| 835 | ZHO | 45.0 | 0 days 00:00:23.568000 | 0 days 00:00:32.014000 | 0 days 00:00:23.791000 |
| 836 | ZHO | 46.0 | 0 days 00:00:23.403000 | 0 days 00:00:32.047000 | 0 days 00:00:23.776000 |
| 837 | ZHO | 47.0 | 0 days 00:00:23.499000 | 0 days 00:00:31.925000 | 0 days 00:00:23.774000 |
| 838 | ZHO | 48.0 | 0 days 00:00:23.601000 | 0 days 00:00:31.831000 | 0 days 00:00:23.706000 |
| 839 | ZHO | 49.0 | 0 days 00:00:23.443000 | 0 days 00:00:31.853000 | 0 days 00:00:23.622000 |
| 840 | ZHO | 50.0 | 0 days 00:00:23.405000 | 0 days 00:00:31.775000 | 0 days 00:00:23.591000 |
| 841 | ZHO | 51.0 | 0 days 00:00:23.662000 | 0 days 00:00:32.015000 | 0 days 00:00:23.749000 |
| 842 | ZHO | 52.0 | 0 days 00:00:23.799000 | 0 days 00:00:32.120000 | 0 days 00:00:23.989000 |
| 843 | ZHO | 53.0 | 0 days 00:00:24.129000 | 0 days 00:00:32.747000 | 0 days 00:00:24.009000 |
| 844 | ZHO | 54.0 | 0 days 00:00:23.522000 | 0 days 00:00:32.429000 | 0 days 00:00:24.104000 |
| 845 | ZHO | 55.0 | 0 days 00:00:24.892000 | 0 days 00:00:32.306000 | 0 days 00:00:24.029000 |
| 846 | ZHO | 56.0 | 0 days 00:00:23.480000 | 0 days 00:00:31.935000 | 0 days 00:00:24.129000 |
| 847 | ZHO | 57.0 | 0 days 00:00:23.366000 | 0 days 00:00:33.030000 | 0 days 00:00:24.417000 |
| 848 | ZHO | 58.0 | 0 days 00:00:23.182000 | 0 days 00:00:32.275000 | 0 days 00:00:23.911000 |
| 849 | ZHO | 59.0 | 0 days 00:00:23.420000 | 0 days 00:00:32.170000 | 0 days 00:00:24.061000 |
| 850 | ZHO | 60.0 | 0 days 00:00:23.328000 | 0 days 00:00:32.278000 | 0 days 00:00:24.137000 |
| 851 | ZHO | 61.0 | 0 days 00:00:23.451000 | 0 days 00:00:32.266000 | 0 days 00:00:24.092000 |
| 852 | ZHO | 62.0 | 0 days 00:00:23.572000 | 0 days 00:00:32.294000 | 0 days 00:00:23.965000 |
| 853 | ZHO | 63.0 | 0 days 00:00:23.480000 | 0 days 00:00:32.226000 | 0 days 00:00:24.081000 |
| 854 | ZHO | 64.0 | 0 days 00:00:23.347000 | 0 days 00:00:32.383000 | 0 days 00:00:24.280000 |
| 855 | ZHO | 65.0 | 0 days 00:00:23.579000 | 0 days 00:00:32.491000 | 0 days 00:00:24.915000 |
| 856 | STR | 1.0 | NaT | 0 days 00:00:34.347000 | 0 days 00:00:24.872000 |
| 857 | STR | 2.0 | 0 days 00:00:24.780000 | 0 days 00:00:33.273000 | 0 days 00:00:24.534000 |
| 858 | STR | 3.0 | 0 days 00:00:24.137000 | 0 days 00:00:33.141000 | 0 days 00:00:24.726000 |
| 859 | STR | 4.0 | 0 days 00:00:24.372000 | 0 days 00:00:33.032000 | 0 days 00:00:24.724000 |
| 860 | STR | 5.0 | 0 days 00:00:24.455000 | 0 days 00:00:33.073000 | 0 days 00:00:24.735000 |
| 861 | STR | 6.0 | 0 days 00:00:23.796000 | 0 days 00:00:33.273000 | 0 days 00:00:25.061000 |
| 862 | STR | 7.0 | 0 days 00:00:24.568000 | 0 days 00:00:33.169000 | 0 days 00:00:24.679000 |
| 863 | STR | 8.0 | 0 days 00:00:24.613000 | 0 days 00:00:33.040000 | 0 days 00:00:24.706000 |
| 864 | STR | 9.0 | 0 days 00:00:24.394000 | 0 days 00:00:32.830000 | 0 days 00:00:24.634000 |
| 865 | STR | 10.0 | 0 days 00:00:24.218000 | 0 days 00:00:32.849000 | 0 days 00:00:24.683000 |
| 866 | STR | 11.0 | 0 days 00:00:24.192000 | 0 days 00:00:32.937000 | 0 days 00:00:24.838000 |
| 867 | STR | 12.0 | 0 days 00:00:24.217000 | 0 days 00:00:33.196000 | 0 days 00:00:24.843000 |
| 868 | STR | 13.0 | 0 days 00:00:24.142000 | 0 days 00:00:33.210000 | 0 days 00:00:24.833000 |
| 869 | STR | 14.0 | 0 days 00:00:24.206000 | 0 days 00:00:33.041000 | 0 days 00:00:24.521000 |
| 870 | STR | 15.0 | 0 days 00:00:24.200000 | 0 days 00:00:33.060000 | 0 days 00:00:24.658000 |
| 871 | STR | 16.0 | 0 days 00:00:24.143000 | 0 days 00:00:33.164000 | 0 days 00:00:24.648000 |
| 872 | STR | 17.0 | 0 days 00:00:24.148000 | 0 days 00:00:33.329000 | 0 days 00:00:29.419000 |
| 873 | STR | 18.0 | 0 days 00:00:42.508000 | 0 days 00:00:32.569000 | 0 days 00:00:24.045000 |
| 874 | STR | 19.0 | 0 days 00:00:23.709000 | 0 days 00:00:32.502000 | 0 days 00:00:24.404000 |
| 875 | STR | 20.0 | 0 days 00:00:23.629000 | 0 days 00:00:32.781000 | 0 days 00:00:24.373000 |
| 876 | STR | 21.0 | 0 days 00:00:24.069000 | 0 days 00:00:32.631000 | 0 days 00:00:24.512000 |
| 877 | STR | 22.0 | 0 days 00:00:23.881000 | 0 days 00:00:32.854000 | 0 days 00:00:24.593000 |
| 878 | STR | 23.0 | 0 days 00:00:24.072000 | 0 days 00:00:32.912000 | 0 days 00:00:24.382000 |
| 879 | STR | 24.0 | 0 days 00:00:23.988000 | 0 days 00:00:33.031000 | 0 days 00:00:24.549000 |
| 880 | STR | 25.0 | 0 days 00:00:23.973000 | 0 days 00:00:32.671000 | 0 days 00:00:24.487000 |
| 881 | STR | 26.0 | 0 days 00:00:23.834000 | 0 days 00:00:32.899000 | 0 days 00:00:24.359000 |
| 882 | STR | 27.0 | 0 days 00:00:24.103000 | 0 days 00:00:32.706000 | 0 days 00:00:24.491000 |
| 883 | STR | 28.0 | 0 days 00:00:24.183000 | 0 days 00:00:32.596000 | 0 days 00:00:24.465000 |
| 884 | STR | 29.0 | 0 days 00:00:24.028000 | 0 days 00:00:32.620000 | 0 days 00:00:24.453000 |
| 885 | STR | 30.0 | 0 days 00:00:24.022000 | 0 days 00:00:32.914000 | 0 days 00:00:24.518000 |
| 886 | STR | 31.0 | 0 days 00:00:24.031000 | 0 days 00:00:32.816000 | 0 days 00:00:24.634000 |
| 887 | STR | 32.0 | 0 days 00:00:24.003000 | 0 days 00:00:32.828000 | 0 days 00:00:24.444000 |
| 888 | STR | 33.0 | 0 days 00:00:23.928000 | 0 days 00:00:32.588000 | 0 days 00:00:24.456000 |
| 889 | STR | 34.0 | 0 days 00:00:23.895000 | 0 days 00:00:32.917000 | 0 days 00:00:24.527000 |
| 890 | STR | 35.0 | 0 days 00:00:24.738000 | 0 days 00:00:33.057000 | 0 days 00:00:24.618000 |
| 891 | STR | 36.0 | 0 days 00:00:23.962000 | 0 days 00:00:32.829000 | 0 days 00:00:24.471000 |
| 892 | STR | 37.0 | 0 days 00:00:23.903000 | 0 days 00:00:32.776000 | 0 days 00:00:28.522000 |
| 893 | STR | 38.0 | 0 days 00:00:44.399000 | 0 days 00:00:32.417000 | 0 days 00:00:24.142000 |
| 894 | STR | 39.0 | 0 days 00:00:24.049000 | 0 days 00:00:32.197000 | 0 days 00:00:24.175000 |
| 895 | STR | 40.0 | 0 days 00:00:23.869000 | 0 days 00:00:32.266000 | 0 days 00:00:24.154000 |
| 896 | STR | 41.0 | 0 days 00:00:23.829000 | 0 days 00:00:32.778000 | 0 days 00:00:24.314000 |
| 897 | STR | 42.0 | 0 days 00:00:23.940000 | 0 days 00:00:32.638000 | 0 days 00:00:24.348000 |
| 898 | STR | 43.0 | 0 days 00:00:24.816000 | 0 days 00:00:32.739000 | 0 days 00:00:23.984000 |
| 899 | STR | 44.0 | 0 days 00:00:24.547000 | 0 days 00:00:32.768000 | 0 days 00:00:24.233000 |
| 900 | STR | 45.0 | 0 days 00:00:23.845000 | 0 days 00:00:32.367000 | 0 days 00:00:24.076000 |
| 901 | STR | 46.0 | 0 days 00:00:24.046000 | 0 days 00:00:32.248000 | 0 days 00:00:24.007000 |
| 902 | STR | 47.0 | 0 days 00:00:23.478000 | 0 days 00:00:32.213000 | 0 days 00:00:24.013000 |
| 903 | STR | 48.0 | 0 days 00:00:23.520000 | 0 days 00:00:32.213000 | 0 days 00:00:24.016000 |
| 904 | STR | 49.0 | 0 days 00:00:23.596000 | 0 days 00:00:31.937000 | 0 days 00:00:23.808000 |
| 905 | STR | 50.0 | 0 days 00:00:23.572000 | 0 days 00:00:31.926000 | 0 days 00:00:23.820000 |
| 906 | STR | 51.0 | 0 days 00:00:23.690000 | 0 days 00:00:32.019000 | 0 days 00:00:24.030000 |
| 907 | STR | 52.0 | 0 days 00:00:23.646000 | 0 days 00:00:33.459000 | 0 days 00:00:24.331000 |
| 908 | STR | 53.0 | 0 days 00:00:23.574000 | 0 days 00:00:32.198000 | 0 days 00:00:24.060000 |
| 909 | STR | 54.0 | 0 days 00:00:23.443000 | 0 days 00:00:32.016000 | 0 days 00:00:24.029000 |
| 910 | STR | 55.0 | 0 days 00:00:24.209000 | 0 days 00:00:32.530000 | 0 days 00:00:24.115000 |
| 911 | STR | 56.0 | 0 days 00:00:23.460000 | 0 days 00:00:32.023000 | 0 days 00:00:24.160000 |
| 912 | STR | 57.0 | 0 days 00:00:23.525000 | 0 days 00:00:32.080000 | 0 days 00:00:23.936000 |
| 913 | STR | 58.0 | 0 days 00:00:23.385000 | 0 days 00:00:32.161000 | 0 days 00:00:24.049000 |
| 914 | STR | 59.0 | 0 days 00:00:23.511000 | 0 days 00:00:32.200000 | 0 days 00:00:24.062000 |
| 915 | STR | 60.0 | 0 days 00:00:23.390000 | 0 days 00:00:32.072000 | 0 days 00:00:24.165000 |
| 916 | STR | 61.0 | 0 days 00:00:23.467000 | 0 days 00:00:32.170000 | 0 days 00:00:24.110000 |
| 917 | STR | 62.0 | 0 days 00:00:24.652000 | 0 days 00:00:32.670000 | 0 days 00:00:24.211000 |
| 918 | STR | 63.0 | 0 days 00:00:23.523000 | 0 days 00:00:32.287000 | 0 days 00:00:24.210000 |
| 919 | STR | 64.0 | 0 days 00:00:23.544000 | 0 days 00:00:32.385000 | 0 days 00:00:24.210000 |
| 920 | STR | 65.0 | 0 days 00:00:23.476000 | 0 days 00:00:35.091000 | 0 days 00:00:25.337000 |
| 921 | RIC | 1.0 | NaT | 0 days 00:00:35.231000 | 0 days 00:00:25.237000 |
| 922 | RIC | 2.0 | 0 days 00:00:24.453000 | 0 days 00:00:33.442000 | 0 days 00:00:24.826000 |
| 923 | RIC | 3.0 | 0 days 00:00:24.091000 | 0 days 00:00:33.457000 | 0 days 00:00:25.104000 |
| 924 | RIC | 4.0 | 0 days 00:00:23.986000 | 0 days 00:00:33.437000 | 0 days 00:00:24.951000 |
| 925 | RIC | 5.0 | 0 days 00:00:24.121000 | 0 days 00:00:33.655000 | 0 days 00:00:25.229000 |
| 926 | RIC | 6.0 | 0 days 00:00:24.328000 | 0 days 00:00:33.495000 | 0 days 00:00:25.097000 |
| 927 | RIC | 7.0 | 0 days 00:00:24.474000 | 0 days 00:00:33.834000 | 0 days 00:00:25.176000 |
| 928 | RIC | 8.0 | 0 days 00:00:24.261000 | 0 days 00:00:33.754000 | 0 days 00:00:25.051000 |
| 929 | RIC | 9.0 | 0 days 00:00:24.086000 | 0 days 00:00:33.512000 | 0 days 00:00:24.838000 |
| 930 | RIC | 10.0 | 0 days 00:00:23.616000 | 0 days 00:00:33.374000 | 0 days 00:00:24.780000 |
| 931 | RIC | 11.0 | 0 days 00:00:24.333000 | 0 days 00:00:33.110000 | 0 days 00:00:24.659000 |
| 932 | RIC | 12.0 | 0 days 00:00:24.106000 | 0 days 00:00:33.196000 | 0 days 00:00:24.555000 |
| 933 | RIC | 13.0 | 0 days 00:00:24.091000 | 0 days 00:00:33.191000 | 0 days 00:00:24.692000 |
| 934 | RIC | 14.0 | 0 days 00:00:24.059000 | 0 days 00:00:33.104000 | 0 days 00:00:24.739000 |
| 935 | RIC | 15.0 | 0 days 00:00:24.246000 | 0 days 00:00:33.405000 | 0 days 00:00:24.782000 |
| 936 | RIC | 16.0 | 0 days 00:00:24.243000 | 0 days 00:00:33.353000 | 0 days 00:00:28.666000 |
| 937 | RIC | 17.0 | 0 days 00:00:42.967000 | 0 days 00:00:32.575000 | 0 days 00:00:24.461000 |
| 938 | RIC | 18.0 | 0 days 00:00:23.946000 | 0 days 00:00:32.363000 | 0 days 00:00:24.549000 |
| 939 | RIC | 19.0 | 0 days 00:00:24.186000 | 0 days 00:00:32.717000 | 0 days 00:00:24.512000 |
| 940 | RIC | 20.0 | 0 days 00:00:24.277000 | 0 days 00:00:32.846000 | 0 days 00:00:24.758000 |
| 941 | RIC | 21.0 | 0 days 00:00:23.976000 | 0 days 00:00:32.434000 | 0 days 00:00:24.554000 |
| 942 | RIC | 22.0 | 0 days 00:00:23.905000 | 0 days 00:00:32.461000 | 0 days 00:00:24.483000 |
| 943 | RIC | 23.0 | 0 days 00:00:24.180000 | 0 days 00:00:32.647000 | 0 days 00:00:24.531000 |
| 944 | RIC | 24.0 | 0 days 00:00:23.983000 | 0 days 00:00:32.604000 | 0 days 00:00:24.536000 |
| 945 | RIC | 25.0 | 0 days 00:00:23.838000 | 0 days 00:00:32.716000 | 0 days 00:00:24.568000 |
| 946 | RIC | 26.0 | 0 days 00:00:24.001000 | 0 days 00:00:32.817000 | 0 days 00:00:24.519000 |
| 947 | RIC | 27.0 | 0 days 00:00:24.018000 | 0 days 00:00:32.945000 | 0 days 00:00:24.700000 |
| 948 | RIC | 28.0 | 0 days 00:00:23.990000 | 0 days 00:00:32.805000 | 0 days 00:00:24.763000 |
| 949 | RIC | 29.0 | 0 days 00:00:23.987000 | 0 days 00:00:32.840000 | 0 days 00:00:24.603000 |
| 950 | RIC | 30.0 | 0 days 00:00:23.548000 | 0 days 00:00:32.699000 | 0 days 00:00:24.805000 |
| 951 | RIC | 31.0 | 0 days 00:00:24.052000 | 0 days 00:00:32.825000 | 0 days 00:00:24.665000 |
| 952 | RIC | 32.0 | 0 days 00:00:24.164000 | 0 days 00:00:32.792000 | 0 days 00:00:24.622000 |
| 953 | RIC | 33.0 | 0 days 00:00:23.949000 | 0 days 00:00:32.737000 | 0 days 00:00:24.431000 |
| 954 | RIC | 34.0 | 0 days 00:00:23.910000 | 0 days 00:00:32.645000 | 0 days 00:00:24.478000 |
| 955 | RIC | 35.0 | 0 days 00:00:24.014000 | 0 days 00:00:32.643000 | 0 days 00:00:24.513000 |
| 956 | RIC | 36.0 | 0 days 00:00:23.930000 | 0 days 00:00:32.775000 | 0 days 00:00:24.354000 |
| 957 | RIC | 37.0 | 0 days 00:00:24.004000 | 0 days 00:00:32.626000 | 0 days 00:00:24.510000 |
| 958 | RIC | 38.0 | 0 days 00:00:23.979000 | 0 days 00:00:32.706000 | 0 days 00:00:24.503000 |
| 959 | RIC | 39.0 | 0 days 00:00:24.055000 | 0 days 00:00:33.268000 | 0 days 00:00:24.882000 |
| 960 | RIC | 40.0 | 0 days 00:00:24.530000 | 0 days 00:00:33.268000 | 0 days 00:00:24.617000 |
| 961 | RIC | 41.0 | 0 days 00:00:23.988000 | 0 days 00:00:32.881000 | 0 days 00:00:24.671000 |
| 962 | RIC | 42.0 | 0 days 00:00:23.894000 | 0 days 00:00:32.869000 | 0 days 00:00:28.128000 |
| 963 | RIC | 43.0 | 0 days 00:00:44.393000 | 0 days 00:00:32.771000 | 0 days 00:00:24.209000 |
| 964 | RIC | 44.0 | 0 days 00:00:23.990000 | 0 days 00:00:32.660000 | 0 days 00:00:24.384000 |
| 965 | RIC | 45.0 | 0 days 00:00:23.850000 | 0 days 00:00:33.712000 | 0 days 00:00:24.907000 |
| 966 | RIC | 46.0 | 0 days 00:00:23.955000 | 0 days 00:00:32.491000 | 0 days 00:00:24.499000 |
| 967 | RIC | 47.0 | 0 days 00:00:24.032000 | 0 days 00:00:32.366000 | 0 days 00:00:24.532000 |
| 968 | RIC | 48.0 | 0 days 00:00:24.535000 | 0 days 00:00:34.778000 | 0 days 00:00:24.449000 |
| 969 | RIC | 49.0 | 0 days 00:00:23.781000 | 0 days 00:00:32.274000 | 0 days 00:00:25.857000 |
| 970 | RIC | 50.0 | 0 days 00:00:23.447000 | 0 days 00:00:32.211000 | 0 days 00:00:24.185000 |
| 971 | RIC | 51.0 | 0 days 00:00:23.586000 | 0 days 00:00:32.004000 | 0 days 00:00:23.995000 |
| 972 | RIC | 52.0 | 0 days 00:00:24.601000 | 0 days 00:00:32.316000 | 0 days 00:00:24.110000 |
| 973 | RIC | 53.0 | 0 days 00:00:23.435000 | 0 days 00:00:32.342000 | 0 days 00:00:24.307000 |
| 974 | RIC | 54.0 | 0 days 00:00:23.776000 | 0 days 00:00:32.222000 | 0 days 00:00:24.279000 |
| 975 | RIC | 55.0 | 0 days 00:00:23.901000 | 0 days 00:00:32.578000 | 0 days 00:00:24.520000 |
| 976 | RIC | 56.0 | 0 days 00:00:23.459000 | 0 days 00:00:32.461000 | 0 days 00:00:24.208000 |
| 977 | RIC | 57.0 | 0 days 00:00:23.195000 | 0 days 00:00:32.371000 | 0 days 00:00:24.202000 |
| 978 | RIC | 58.0 | 0 days 00:00:24.838000 | 0 days 00:00:32.502000 | 0 days 00:00:24.208000 |
| 979 | RIC | 59.0 | 0 days 00:00:23.491000 | 0 days 00:00:32.346000 | 0 days 00:00:24.159000 |
| 980 | RIC | 60.0 | 0 days 00:00:23.317000 | 0 days 00:00:32.203000 | 0 days 00:00:24.036000 |
| 981 | RIC | 61.0 | 0 days 00:00:23.475000 | 0 days 00:00:31.994000 | 0 days 00:00:23.981000 |
| 982 | RIC | 62.0 | 0 days 00:00:23.542000 | 0 days 00:00:32.274000 | 0 days 00:00:23.984000 |
| 983 | RIC | 63.0 | 0 days 00:00:23.536000 | 0 days 00:00:32.310000 | 0 days 00:00:24.024000 |
| 984 | RIC | 64.0 | 0 days 00:00:23.582000 | 0 days 00:00:32.416000 | 0 days 00:00:24.196000 |
| 985 | RIC | 65.0 | 0 days 00:00:23.520000 | 0 days 00:00:32.152000 | 0 days 00:00:23.855000 |
| 986 | BOT | 1.0 | NaT | 0 days 00:00:34.187000 | 0 days 00:00:25.492000 |
| 987 | BOT | 2.0 | 0 days 00:00:24.671000 | 0 days 00:00:33.365000 | 0 days 00:00:24.679000 |
| 988 | BOT | 3.0 | 0 days 00:00:24.067000 | 0 days 00:00:33.276000 | 0 days 00:00:24.770000 |
| 989 | BOT | 4.0 | 0 days 00:00:24.191000 | 0 days 00:00:33.300000 | 0 days 00:00:24.800000 |
| 990 | BOT | 5.0 | 0 days 00:00:24.103000 | 0 days 00:00:33.630000 | 0 days 00:00:24.929000 |
| 991 | BOT | 6.0 | 0 days 00:00:24.443000 | 0 days 00:00:33.241000 | 0 days 00:00:24.652000 |
| 992 | BOT | 7.0 | 0 days 00:00:24.065000 | 0 days 00:00:33.615000 | 0 days 00:00:24.620000 |
| 993 | BOT | 8.0 | 0 days 00:00:24.349000 | 0 days 00:00:33.478000 | 0 days 00:00:24.676000 |
| 994 | BOT | 9.0 | 0 days 00:00:24.275000 | 0 days 00:00:33.285000 | 0 days 00:00:24.732000 |
| 995 | BOT | 10.0 | 0 days 00:00:24.274000 | 0 days 00:00:33.296000 | 0 days 00:00:24.744000 |
| 996 | BOT | 11.0 | 0 days 00:00:24.243000 | 0 days 00:00:32.920000 | 0 days 00:00:28.179000 |
| 997 | BOT | 12.0 | 0 days 00:00:43.064000 | 0 days 00:00:32.116000 | 0 days 00:00:24.031000 |
| 998 | BOT | 13.0 | 0 days 00:00:23.667000 | 0 days 00:00:31.988000 | 0 days 00:00:23.953000 |
| 999 | BOT | 14.0 | 0 days 00:00:23.367000 | 0 days 00:00:32.524000 | 0 days 00:00:24.126000 |
| 1000 | BOT | 15.0 | 0 days 00:00:23.880000 | 0 days 00:00:32.749000 | 0 days 00:00:24.456000 |
| 1001 | BOT | 16.0 | 0 days 00:00:23.843000 | 0 days 00:00:32.947000 | 0 days 00:00:24.467000 |
| 1002 | BOT | 17.0 | 0 days 00:00:23.978000 | 0 days 00:00:32.892000 | 0 days 00:00:24.717000 |
| 1003 | BOT | 18.0 | 0 days 00:00:23.879000 | 0 days 00:00:32.836000 | 0 days 00:00:24.886000 |
| 1004 | BOT | 19.0 | 0 days 00:00:23.433000 | 0 days 00:00:33.070000 | 0 days 00:00:24.727000 |
| 1005 | BOT | 20.0 | 0 days 00:00:24.013000 | 0 days 00:00:32.967000 | 0 days 00:00:24.632000 |
| 1006 | BOT | 21.0 | 0 days 00:00:24.003000 | 0 days 00:00:32.947000 | 0 days 00:00:24.736000 |
| 1007 | BOT | 22.0 | 0 days 00:00:24.098000 | 0 days 00:00:32.948000 | 0 days 00:00:24.885000 |
| 1008 | BOT | 23.0 | 0 days 00:00:24.220000 | 0 days 00:00:33.232000 | 0 days 00:00:24.787000 |
| 1009 | BOT | 24.0 | 0 days 00:00:24.165000 | 0 days 00:00:32.942000 | 0 days 00:00:24.675000 |
| 1010 | BOT | 25.0 | 0 days 00:00:25.068000 | 0 days 00:00:33.272000 | 0 days 00:00:24.701000 |
| 1011 | BOT | 26.0 | 0 days 00:00:24.905000 | 0 days 00:00:33.343000 | 0 days 00:00:24.753000 |
| 1012 | BOT | 27.0 | 0 days 00:00:24.804000 | 0 days 00:00:33.485000 | 0 days 00:00:25.139000 |
| 1013 | BOT | 28.0 | 0 days 00:00:24.197000 | 0 days 00:00:32.842000 | 0 days 00:00:28.538000 |
| 1014 | BOT | 29.0 | 0 days 00:00:43.678000 | 0 days 00:00:32.154000 | 0 days 00:00:23.790000 |
| 1015 | BOT | 30.0 | 0 days 00:00:23.751000 | 0 days 00:00:32.217000 | 0 days 00:00:24.227000 |
| 1016 | BOT | 31.0 | 0 days 00:00:23.764000 | 0 days 00:00:32.357000 | 0 days 00:00:24.349000 |
| 1017 | BOT | 32.0 | 0 days 00:00:24.051000 | 0 days 00:00:32.885000 | 0 days 00:00:24.677000 |
| 1018 | BOT | 33.0 | 0 days 00:00:23.590000 | 0 days 00:00:32.664000 | 0 days 00:00:24.311000 |
| 1019 | BOT | 34.0 | 0 days 00:00:23.960000 | 0 days 00:00:32.490000 | 0 days 00:00:24.294000 |
| 1020 | BOT | 35.0 | 0 days 00:00:23.954000 | 0 days 00:00:32.538000 | 0 days 00:00:24.174000 |
| 1021 | BOT | 36.0 | 0 days 00:00:23.862000 | 0 days 00:00:32.423000 | 0 days 00:00:24.319000 |
| 1022 | BOT | 37.0 | 0 days 00:00:23.937000 | 0 days 00:00:32.482000 | 0 days 00:00:24.396000 |
| 1023 | BOT | 38.0 | 0 days 00:00:23.947000 | 0 days 00:00:32.449000 | 0 days 00:00:24.377000 |
| 1024 | BOT | 39.0 | 0 days 00:00:24.015000 | 0 days 00:00:32.860000 | 0 days 00:00:25.899000 |
| 1025 | BOT | 40.0 | 0 days 00:00:23.987000 | 0 days 00:00:32.693000 | 0 days 00:00:24.375000 |
| 1026 | BOT | 41.0 | 0 days 00:00:24.722000 | 0 days 00:00:33.417000 | 0 days 00:00:26.110000 |
| 1027 | BOT | 42.0 | 0 days 00:00:23.336000 | 0 days 00:00:32.868000 | 0 days 00:00:24.273000 |
| 1028 | BOT | 43.0 | 0 days 00:00:24.775000 | 0 days 00:00:33.339000 | 0 days 00:00:24.531000 |
| 1029 | BOT | 44.0 | 0 days 00:00:23.931000 | 0 days 00:00:33.006000 | 0 days 00:00:24.401000 |
| 1030 | BOT | 45.0 | 0 days 00:00:23.979000 | 0 days 00:00:32.724000 | 0 days 00:00:24.107000 |
| 1031 | BOT | 46.0 | 0 days 00:00:23.934000 | 0 days 00:00:32.533000 | 0 days 00:00:24.424000 |
| 1032 | BOT | 47.0 | 0 days 00:00:23.771000 | 0 days 00:00:32.676000 | 0 days 00:00:24.608000 |
| 1033 | BOT | 48.0 | 0 days 00:00:24.730000 | 0 days 00:00:32.956000 | 0 days 00:00:24.415000 |
| 1034 | BOT | 49.0 | 0 days 00:00:23.954000 | 0 days 00:00:32.321000 | 0 days 00:00:24.369000 |
| 1035 | BOT | 50.0 | 0 days 00:00:24.453000 | 0 days 00:00:33.042000 | 0 days 00:00:24.092000 |
| 1036 | BOT | 51.0 | 0 days 00:00:23.751000 | 0 days 00:00:32.464000 | 0 days 00:00:26.191000 |
| 1037 | BOT | 52.0 | 0 days 00:00:24.568000 | 0 days 00:00:33.246000 | 0 days 00:00:24.782000 |
| 1038 | BOT | 53.0 | 0 days 00:00:23.971000 | 0 days 00:00:35.082000 | 0 days 00:00:24.589000 |
| 1039 | BOT | 54.0 | 0 days 00:00:23.697000 | 0 days 00:00:32.649000 | 0 days 00:00:24.449000 |
| 1040 | BOT | 55.0 | 0 days 00:00:24.030000 | 0 days 00:00:32.441000 | 0 days 00:00:24.339000 |
| 1041 | BOT | 56.0 | 0 days 00:00:23.705000 | 0 days 00:00:32.280000 | 0 days 00:00:24.384000 |
| 1042 | BOT | 57.0 | 0 days 00:00:23.622000 | 0 days 00:00:32.153000 | 0 days 00:00:24.161000 |
| 1043 | BOT | 58.0 | 0 days 00:00:23.839000 | 0 days 00:00:33.381000 | 0 days 00:00:24.682000 |
| 1044 | BOT | 59.0 | 0 days 00:00:23.509000 | 0 days 00:00:32.648000 | 0 days 00:00:24.233000 |
| 1045 | BOT | 60.0 | 0 days 00:00:24.767000 | 0 days 00:00:33.162000 | 0 days 00:00:24.770000 |
| 1046 | BOT | 61.0 | 0 days 00:00:24.003000 | 0 days 00:00:32.634000 | 0 days 00:00:24.523000 |
| 1047 | BOT | 62.0 | 0 days 00:00:23.767000 | 0 days 00:00:32.675000 | 0 days 00:00:24.434000 |
| 1048 | BOT | 63.0 | 0 days 00:00:23.684000 | 0 days 00:00:32.544000 | 0 days 00:00:24.519000 |
| 1049 | BOT | 64.0 | 0 days 00:00:23.922000 | 0 days 00:00:32.704000 | 0 days 00:00:24.699000 |
| 1050 | BOT | 65.0 | 0 days 00:00:24.108000 | 0 days 00:00:32.875000 | 0 days 00:00:24.449000 |
| 1051 | MAG | 1.0 | NaT | 0 days 00:00:34.560000 | 0 days 00:00:25.084000 |
| 1052 | MAG | 2.0 | 0 days 00:00:24.796000 | 0 days 00:00:33.420000 | 0 days 00:00:24.857000 |
| 1053 | MAG | 3.0 | 0 days 00:00:23.884000 | 0 days 00:00:33.381000 | 0 days 00:00:24.837000 |
| 1054 | MAG | 4.0 | 0 days 00:00:23.898000 | 0 days 00:00:33.740000 | 0 days 00:00:24.742000 |
| 1055 | MAG | 5.0 | 0 days 00:00:23.714000 | 0 days 00:00:34.392000 | 0 days 00:00:24.936000 |
| 1056 | MAG | 6.0 | 0 days 00:00:23.971000 | 0 days 00:00:33.352000 | 0 days 00:00:25.123000 |
| 1057 | MAG | 7.0 | 0 days 00:00:24.245000 | 0 days 00:00:33.284000 | 0 days 00:00:24.942000 |
| 1058 | MAG | 8.0 | 0 days 00:00:24.046000 | 0 days 00:00:33.307000 | 0 days 00:00:24.867000 |
| 1059 | MAG | 9.0 | 0 days 00:00:24.044000 | 0 days 00:00:33.341000 | 0 days 00:00:24.810000 |
| 1060 | MAG | 10.0 | 0 days 00:00:23.934000 | 0 days 00:00:33.565000 | 0 days 00:00:28.585000 |
| 1061 | MAG | 11.0 | 0 days 00:00:43.703000 | 0 days 00:00:32.875000 | 0 days 00:00:23.993000 |
| 1062 | MAG | 12.0 | 0 days 00:00:24.260000 | 0 days 00:00:32.923000 | 0 days 00:00:24.287000 |
| 1063 | MAG | 13.0 | 0 days 00:00:23.867000 | 0 days 00:00:32.542000 | 0 days 00:00:24.555000 |
| 1064 | MAG | 14.0 | 0 days 00:00:23.977000 | 0 days 00:00:32.778000 | 0 days 00:00:24.469000 |
| 1065 | MAG | 15.0 | 0 days 00:00:24.106000 | 0 days 00:00:32.778000 | 0 days 00:00:24.555000 |
| 1066 | MAG | 16.0 | 0 days 00:00:23.983000 | 0 days 00:00:32.794000 | 0 days 00:00:24.733000 |
| 1067 | MAG | 17.0 | 0 days 00:00:24.028000 | 0 days 00:00:32.640000 | 0 days 00:00:24.672000 |
| 1068 | MAG | 18.0 | 0 days 00:00:23.984000 | 0 days 00:00:32.653000 | 0 days 00:00:24.650000 |
| 1069 | MAG | 19.0 | 0 days 00:00:23.944000 | 0 days 00:00:32.595000 | 0 days 00:00:24.411000 |
| 1070 | MAG | 20.0 | 0 days 00:00:24.623000 | 0 days 00:00:32.969000 | 0 days 00:00:24.896000 |
| 1071 | MAG | 21.0 | 0 days 00:00:24.100000 | 0 days 00:00:32.873000 | 0 days 00:00:24.813000 |
| 1072 | MAG | 22.0 | 0 days 00:00:23.954000 | 0 days 00:00:32.895000 | 0 days 00:00:24.746000 |
| 1073 | MAG | 23.0 | 0 days 00:00:24.470000 | 0 days 00:00:33.286000 | 0 days 00:00:24.810000 |
| 1074 | MAG | 24.0 | 0 days 00:00:24.264000 | 0 days 00:00:33.026000 | 0 days 00:00:24.767000 |
| 1075 | MAG | 25.0 | 0 days 00:00:23.858000 | 0 days 00:00:33.015000 | 0 days 00:00:24.843000 |
| 1076 | MAG | 26.0 | 0 days 00:00:23.976000 | 0 days 00:00:33.098000 | 0 days 00:00:24.743000 |
| 1077 | MAG | 27.0 | 0 days 00:00:24.117000 | 0 days 00:00:33.270000 | 0 days 00:00:24.955000 |
| 1078 | MAG | 28.0 | 0 days 00:00:24.223000 | 0 days 00:00:32.933000 | 0 days 00:00:24.789000 |
| 1079 | MAG | 29.0 | 0 days 00:00:24.046000 | 0 days 00:00:32.916000 | 0 days 00:00:28.419000 |
| 1080 | MAG | 30.0 | 0 days 00:00:50.157000 | 0 days 00:00:32.754000 | 0 days 00:00:24.536000 |
| 1081 | MAG | 31.0 | 0 days 00:00:23.955000 | 0 days 00:00:32.030000 | 0 days 00:00:24.060000 |
| 1082 | MAG | 32.0 | 0 days 00:00:23.754000 | 0 days 00:00:32.049000 | 0 days 00:00:24.124000 |
| 1083 | MAG | 33.0 | 0 days 00:00:23.618000 | 0 days 00:00:32.140000 | 0 days 00:00:24.047000 |
| 1084 | MAG | 34.0 | 0 days 00:00:23.659000 | 0 days 00:00:32.321000 | 0 days 00:00:24.226000 |
| 1085 | MAG | 35.0 | 0 days 00:00:23.742000 | 0 days 00:00:32.311000 | 0 days 00:00:24.245000 |
| 1086 | MAG | 36.0 | 0 days 00:00:23.818000 | 0 days 00:00:32.399000 | 0 days 00:00:24.263000 |
| 1087 | MAG | 37.0 | 0 days 00:00:23.725000 | 0 days 00:00:32.413000 | 0 days 00:00:24.350000 |
| 1088 | MAG | 38.0 | 0 days 00:00:23.579000 | 0 days 00:00:32.465000 | 0 days 00:00:24.283000 |
| 1089 | MAG | 39.0 | 0 days 00:00:23.747000 | 0 days 00:00:32.548000 | 0 days 00:00:24.325000 |
| 1090 | MAG | 40.0 | 0 days 00:00:24.537000 | 0 days 00:00:32.732000 | 0 days 00:00:24.416000 |
| 1091 | MAG | 41.0 | 0 days 00:00:23.794000 | 0 days 00:00:32.769000 | 0 days 00:00:24.385000 |
| 1092 | MAG | 42.0 | 0 days 00:00:23.515000 | 0 days 00:00:32.892000 | 0 days 00:00:24.505000 |
| 1093 | MAG | 43.0 | 0 days 00:00:23.801000 | 0 days 00:00:32.715000 | 0 days 00:00:24.517000 |
| 1094 | MAG | 44.0 | 0 days 00:00:23.860000 | 0 days 00:00:32.820000 | 0 days 00:00:24.444000 |
| 1095 | MAG | 45.0 | 0 days 00:00:23.739000 | 0 days 00:00:32.741000 | 0 days 00:00:24.404000 |
| 1096 | MAG | 46.0 | 0 days 00:00:23.818000 | 0 days 00:00:32.698000 | 0 days 00:00:24.615000 |
| 1097 | MAG | 47.0 | 0 days 00:00:23.699000 | 0 days 00:00:32.643000 | 0 days 00:00:24.625000 |
| 1098 | MAG | 48.0 | 0 days 00:00:24.282000 | 0 days 00:00:32.773000 | 0 days 00:00:24.729000 |
| 1099 | MAG | 49.0 | 0 days 00:00:23.669000 | 0 days 00:00:32.668000 | 0 days 00:00:24.603000 |
| 1100 | MAG | 50.0 | 0 days 00:00:24.290000 | 0 days 00:00:32.653000 | 0 days 00:00:24.204000 |
| 1101 | MAG | 51.0 | 0 days 00:00:23.529000 | 0 days 00:00:35.810000 | 0 days 00:00:24.553000 |
| 1102 | MAG | 52.0 | 0 days 00:00:23.952000 | 0 days 00:00:32.876000 | 0 days 00:00:26.110000 |
| 1103 | MAG | 53.0 | 0 days 00:00:24.435000 | 0 days 00:00:32.858000 | 0 days 00:00:24.639000 |
| 1104 | MAG | 54.0 | 0 days 00:00:23.777000 | 0 days 00:00:32.662000 | 0 days 00:00:24.455000 |
| 1105 | MAG | 55.0 | 0 days 00:00:23.868000 | 0 days 00:00:32.525000 | 0 days 00:00:24.245000 |
| 1106 | MAG | 56.0 | 0 days 00:00:23.724000 | 0 days 00:00:32.411000 | 0 days 00:00:24.449000 |
| 1107 | MAG | 57.0 | 0 days 00:00:23.934000 | 0 days 00:00:33.082000 | 0 days 00:00:25.148000 |
| 1108 | MAG | 58.0 | 0 days 00:00:23.581000 | 0 days 00:00:32.935000 | 0 days 00:00:24.533000 |
| 1109 | MAG | 59.0 | 0 days 00:00:23.761000 | 0 days 00:00:32.660000 | 0 days 00:00:24.375000 |
| 1110 | MAG | 60.0 | 0 days 00:00:23.747000 | 0 days 00:00:32.757000 | 0 days 00:00:24.492000 |
| 1111 | MAG | 61.0 | 0 days 00:00:23.692000 | 0 days 00:00:32.756000 | 0 days 00:00:24.574000 |
| 1112 | MAG | 62.0 | 0 days 00:00:23.660000 | 0 days 00:00:32.887000 | 0 days 00:00:24.447000 |
| 1113 | MAG | 63.0 | 0 days 00:00:23.717000 | 0 days 00:00:32.705000 | 0 days 00:00:24.586000 |
| 1114 | MAG | 64.0 | 0 days 00:00:23.809000 | 0 days 00:00:32.811000 | 0 days 00:00:24.746000 |
| 1115 | MAG | 65.0 | 0 days 00:00:23.982000 | 0 days 00:00:32.878000 | 0 days 00:00:24.590000 |
| 1116 | ALB | 1.0 | NaT | 0 days 00:00:33.632000 | 0 days 00:00:24.980000 |
| 1117 | ALB | 2.0 | 0 days 00:00:24.657000 | 0 days 00:00:32.882000 | 0 days 00:00:24.678000 |
| 1118 | ALB | 3.0 | 0 days 00:00:24.344000 | 0 days 00:00:32.927000 | 0 days 00:00:24.900000 |
| 1119 | ALB | 4.0 | 0 days 00:00:24.318000 | 0 days 00:00:33.118000 | 0 days 00:00:24.842000 |
| 1120 | ALB | 5.0 | 0 days 00:00:24.396000 | 0 days 00:00:33.422000 | 0 days 00:00:24.957000 |
| 1121 | ALB | 6.0 | 0 days 00:00:24.163000 | 0 days 00:00:33.420000 | 0 days 00:00:24.915000 |
| 1122 | ALB | 7.0 | 0 days 00:00:24.418000 | 0 days 00:00:33.969000 | 0 days 00:00:25.144000 |
| 1123 | ALB | 8.0 | 0 days 00:00:23.868000 | 0 days 00:00:34.323000 | 0 days 00:00:25.034000 |
| 1124 | ALB | 9.0 | 0 days 00:00:24.205000 | 0 days 00:00:33.628000 | 0 days 00:00:25.005000 |
| 1125 | ALB | 10.0 | 0 days 00:00:24.420000 | 0 days 00:00:33.548000 | 0 days 00:00:24.819000 |
| 1126 | ALB | 11.0 | 0 days 00:00:24.237000 | 0 days 00:00:33.353000 | 0 days 00:00:24.831000 |
| 1127 | ALB | 12.0 | 0 days 00:00:24.156000 | 0 days 00:00:33.189000 | 0 days 00:00:24.774000 |
| 1128 | ALB | 13.0 | 0 days 00:00:24.260000 | 0 days 00:00:33.213000 | 0 days 00:00:24.790000 |
| 1129 | ALB | 14.0 | 0 days 00:00:24.234000 | 0 days 00:00:33.282000 | 0 days 00:00:24.730000 |
| 1130 | ALB | 15.0 | 0 days 00:00:24.328000 | 0 days 00:00:33.293000 | 0 days 00:00:24.974000 |
| 1131 | ALB | 16.0 | 0 days 00:00:24.607000 | 0 days 00:00:33.921000 | 0 days 00:00:25.051000 |
| 1132 | ALB | 17.0 | 0 days 00:00:25.043000 | 0 days 00:00:33.513000 | 0 days 00:00:24.970000 |
| 1133 | ALB | 18.0 | 0 days 00:00:24.698000 | 0 days 00:00:33.426000 | 0 days 00:00:28.714000 |
| 1134 | ALB | 19.0 | 0 days 00:00:44.024000 | 0 days 00:00:32.105000 | 0 days 00:00:24.096000 |
| 1135 | ALB | 20.0 | 0 days 00:00:24.017000 | 0 days 00:00:31.970000 | 0 days 00:00:24.018000 |
| 1136 | ALB | 21.0 | 0 days 00:00:23.957000 | 0 days 00:00:32.158000 | 0 days 00:00:24.173000 |
| 1137 | ALB | 22.0 | 0 days 00:00:23.891000 | 0 days 00:00:32.379000 | 0 days 00:00:24.224000 |
| 1138 | ALB | 23.0 | 0 days 00:00:24.026000 | 0 days 00:00:32.582000 | 0 days 00:00:24.444000 |
| 1139 | ALB | 24.0 | 0 days 00:00:23.749000 | 0 days 00:00:32.871000 | 0 days 00:00:24.561000 |
| 1140 | ALB | 25.0 | 0 days 00:00:23.843000 | 0 days 00:00:32.744000 | 0 days 00:00:24.358000 |
| 1141 | ALB | 26.0 | 0 days 00:00:24.020000 | 0 days 00:00:32.960000 | 0 days 00:00:24.497000 |
| 1142 | ALB | 27.0 | 0 days 00:00:24.149000 | 0 days 00:00:32.828000 | 0 days 00:00:24.668000 |
| 1143 | ALB | 28.0 | 0 days 00:00:24.147000 | 0 days 00:00:32.660000 | 0 days 00:00:24.609000 |
| 1144 | ALB | 29.0 | 0 days 00:00:24.013000 | 0 days 00:00:32.610000 | 0 days 00:00:24.479000 |
| 1145 | ALB | 30.0 | 0 days 00:00:24.029000 | 0 days 00:00:32.760000 | 0 days 00:00:24.630000 |
| 1146 | ALB | 31.0 | 0 days 00:00:24.070000 | 0 days 00:00:32.716000 | 0 days 00:00:24.466000 |
| 1147 | ALB | 32.0 | 0 days 00:00:24.073000 | 0 days 00:00:32.515000 | 0 days 00:00:24.582000 |
| 1148 | ALB | 33.0 | 0 days 00:00:23.984000 | 0 days 00:00:32.585000 | 0 days 00:00:24.424000 |
| 1149 | ALB | 34.0 | 0 days 00:00:24.001000 | 0 days 00:00:32.789000 | 0 days 00:00:24.493000 |
| 1150 | ALB | 35.0 | 0 days 00:00:24.102000 | 0 days 00:00:32.958000 | 0 days 00:00:24.576000 |
| 1151 | ALB | 36.0 | 0 days 00:00:23.971000 | 0 days 00:00:32.894000 | 0 days 00:00:24.614000 |
| 1152 | ALB | 37.0 | 0 days 00:00:24.119000 | 0 days 00:00:32.745000 | 0 days 00:00:24.713000 |
| 1153 | ALB | 38.0 | 0 days 00:00:24.150000 | 0 days 00:00:32.903000 | 0 days 00:00:24.684000 |
| 1154 | ALB | 39.0 | 0 days 00:00:24.296000 | 0 days 00:00:33.178000 | 0 days 00:00:24.795000 |
| 1155 | ALB | 40.0 | 0 days 00:00:23.919000 | 0 days 00:00:32.904000 | 0 days 00:00:24.764000 |
| 1156 | ALB | 41.0 | 0 days 00:00:24.089000 | 0 days 00:00:33.256000 | 0 days 00:00:24.810000 |
| 1157 | ALB | 42.0 | 0 days 00:00:24.118000 | 0 days 00:00:33.147000 | 0 days 00:00:26.985000 |
| 1158 | ALB | 43.0 | 0 days 00:00:24.238000 | 0 days 00:00:33.268000 | 0 days 00:00:28.419000 |
| 1159 | ALB | 44.0 | 0 days 00:00:42.045000 | 0 days 00:00:31.459000 | 0 days 00:00:23.911000 |
| 1160 | ALB | 45.0 | 0 days 00:00:23.749000 | 0 days 00:00:31.706000 | 0 days 00:00:23.677000 |
| 1161 | ALB | 46.0 | 0 days 00:00:23.769000 | 0 days 00:00:33.435000 | 0 days 00:00:25.921000 |
| 1162 | ALB | 47.0 | 0 days 00:00:23.653000 | 0 days 00:00:32.276000 | 0 days 00:00:23.923000 |
| 1163 | ALB | 48.0 | 0 days 00:00:25.712000 | 0 days 00:00:32.184000 | 0 days 00:00:24.141000 |
| 1164 | ALB | 49.0 | 0 days 00:00:23.863000 | 0 days 00:00:31.999000 | 0 days 00:00:24.019000 |
| 1165 | ALB | 50.0 | 0 days 00:00:23.851000 | 0 days 00:00:32.235000 | 0 days 00:00:23.991000 |
| 1166 | ALB | 51.0 | 0 days 00:00:25.226000 | 0 days 00:00:32.208000 | 0 days 00:00:23.996000 |
| 1167 | ALB | 52.0 | 0 days 00:00:23.848000 | 0 days 00:00:32.187000 | 0 days 00:00:24.096000 |
| 1168 | ALB | 53.0 | 0 days 00:00:23.847000 | 0 days 00:00:32.190000 | 0 days 00:00:24.183000 |
| 1169 | ALB | 54.0 | 0 days 00:00:23.884000 | 0 days 00:00:32.188000 | 0 days 00:00:24.228000 |
| 1170 | ALB | 55.0 | 0 days 00:00:23.808000 | 0 days 00:00:32.178000 | 0 days 00:00:24.211000 |
| 1171 | ALB | 56.0 | 0 days 00:00:23.841000 | 0 days 00:00:33.270000 | 0 days 00:00:24.631000 |
| 1172 | ALB | 57.0 | 0 days 00:00:23.468000 | 0 days 00:00:32.424000 | 0 days 00:00:24.227000 |
| 1173 | ALB | 58.0 | 0 days 00:00:23.672000 | 0 days 00:00:41.310000 | 0 days 00:00:24.623000 |
| 1174 | ALB | 59.0 | 0 days 00:00:23.722000 | 0 days 00:00:32.312000 | 0 days 00:00:24.063000 |
| 1175 | ALB | 60.0 | 0 days 00:00:23.670000 | 0 days 00:00:32.228000 | 0 days 00:00:23.978000 |
| 1176 | ALB | 61.0 | 0 days 00:00:23.613000 | 0 days 00:00:32.133000 | 0 days 00:00:24.256000 |
| 1177 | ALB | 62.0 | 0 days 00:00:23.598000 | 0 days 00:00:32.259000 | 0 days 00:00:24.136000 |
| 1178 | ALB | 63.0 | 0 days 00:00:23.521000 | 0 days 00:00:32.377000 | 0 days 00:00:24.313000 |
| 1179 | ALB | 64.0 | 0 days 00:00:23.724000 | 0 days 00:00:32.199000 | 0 days 00:00:24.312000 |
| 1180 | ALB | 65.0 | 0 days 00:00:23.676000 | 0 days 00:00:32.344000 | 0 days 00:00:24.290000 |
| 1181 | TSU | 1.0 | NaT | 0 days 00:00:34.259000 | 0 days 00:00:25.296000 |
| 1182 | TSU | 2.0 | 0 days 00:00:24.724000 | 0 days 00:00:33.446000 | 0 days 00:00:24.787000 |
| 1183 | TSU | 3.0 | 0 days 00:00:24.042000 | 0 days 00:00:33.254000 | 0 days 00:00:24.897000 |
| 1184 | TSU | 4.0 | 0 days 00:00:24.068000 | 0 days 00:00:33.525000 | 0 days 00:00:24.814000 |
| 1185 | TSU | 5.0 | 0 days 00:00:23.987000 | 0 days 00:00:33.836000 | 0 days 00:00:25.096000 |
| 1186 | TSU | 6.0 | 0 days 00:00:25.001000 | 0 days 00:00:33.504000 | 0 days 00:00:25.219000 |
| 1187 | TSU | 7.0 | 0 days 00:00:24.725000 | 0 days 00:00:33.942000 | 0 days 00:00:25.068000 |
| 1188 | TSU | 8.0 | 0 days 00:00:24.274000 | 0 days 00:00:33.547000 | 0 days 00:00:25.138000 |
| 1189 | TSU | 9.0 | 0 days 00:00:24.239000 | 0 days 00:00:33.244000 | 0 days 00:00:28.521000 |
| 1190 | TSU | 10.0 | 0 days 00:00:43.060000 | 0 days 00:00:31.947000 | 0 days 00:00:23.879000 |
| 1191 | TSU | 11.0 | 0 days 00:00:23.963000 | 0 days 00:00:33.031000 | 0 days 00:00:24.650000 |
| 1192 | TSU | 12.0 | 0 days 00:00:23.808000 | 0 days 00:00:33.701000 | 0 days 00:00:24.832000 |
| 1193 | TSU | 13.0 | 0 days 00:00:24.267000 | 0 days 00:00:32.957000 | 0 days 00:00:24.593000 |
| 1194 | TSU | 14.0 | 0 days 00:00:23.977000 | 0 days 00:00:32.795000 | 0 days 00:00:24.739000 |
| 1195 | TSU | 15.0 | 0 days 00:00:24.245000 | 0 days 00:00:32.803000 | 0 days 00:00:24.505000 |
| 1196 | TSU | 16.0 | 0 days 00:00:24.136000 | 0 days 00:00:33.098000 | 0 days 00:00:24.799000 |
| 1197 | TSU | 17.0 | 0 days 00:00:24.193000 | 0 days 00:00:32.766000 | 0 days 00:00:24.564000 |
| 1198 | TSU | 18.0 | 0 days 00:00:24.208000 | 0 days 00:00:33.258000 | 0 days 00:00:24.716000 |
| 1199 | TSU | 19.0 | 0 days 00:00:24.120000 | 0 days 00:00:33.008000 | 0 days 00:00:24.616000 |
| 1200 | TSU | 20.0 | 0 days 00:00:24.831000 | 0 days 00:00:33.358000 | 0 days 00:00:24.773000 |
| 1201 | TSU | 21.0 | 0 days 00:00:23.904000 | 0 days 00:00:32.805000 | 0 days 00:00:24.683000 |
| 1202 | TSU | 22.0 | 0 days 00:00:25.158000 | 0 days 00:00:33.708000 | 0 days 00:00:24.927000 |
| 1203 | TSU | 23.0 | 0 days 00:00:24.065000 | 0 days 00:00:32.983000 | 0 days 00:00:24.700000 |
| 1204 | TSU | 24.0 | 0 days 00:00:23.997000 | 0 days 00:00:32.850000 | 0 days 00:00:24.768000 |
| 1205 | TSU | 25.0 | 0 days 00:00:23.984000 | 0 days 00:00:33.175000 | 0 days 00:00:24.632000 |
| 1206 | TSU | 26.0 | 0 days 00:00:24.027000 | 0 days 00:00:33.290000 | 0 days 00:00:24.694000 |
| 1207 | TSU | 27.0 | 0 days 00:00:24.075000 | 0 days 00:00:33.059000 | 0 days 00:00:28.447000 |
| 1208 | TSU | 28.0 | 0 days 00:00:43.421000 | 0 days 00:00:32.220000 | 0 days 00:00:24.096000 |
| 1209 | TSU | 29.0 | 0 days 00:00:23.651000 | 0 days 00:00:31.911000 | 0 days 00:00:24.011000 |
| 1210 | TSU | 30.0 | 0 days 00:00:23.565000 | 0 days 00:00:32.056000 | 0 days 00:00:24.134000 |
| 1211 | TSU | 31.0 | 0 days 00:00:23.788000 | 0 days 00:00:32.328000 | 0 days 00:00:24.262000 |
| 1212 | TSU | 32.0 | 0 days 00:00:23.682000 | 0 days 00:00:32.408000 | 0 days 00:00:24.233000 |
| 1213 | TSU | 33.0 | 0 days 00:00:23.581000 | 0 days 00:00:32.407000 | 0 days 00:00:24.184000 |
| 1214 | TSU | 34.0 | 0 days 00:00:23.743000 | 0 days 00:00:32.532000 | 0 days 00:00:24.282000 |
| 1215 | TSU | 35.0 | 0 days 00:00:23.338000 | 0 days 00:00:32.647000 | 0 days 00:00:24.203000 |
| 1216 | TSU | 36.0 | 0 days 00:00:23.628000 | 0 days 00:00:34.664000 | 0 days 00:00:24.479000 |
| 1217 | TSU | 37.0 | 0 days 00:00:23.730000 | 0 days 00:00:32.462000 | 0 days 00:00:24.461000 |
| 1218 | TSU | 38.0 | 0 days 00:00:23.780000 | 0 days 00:00:32.622000 | 0 days 00:00:24.447000 |
| 1219 | TSU | 39.0 | 0 days 00:00:23.668000 | 0 days 00:00:32.900000 | 0 days 00:00:24.458000 |
| 1220 | TSU | 40.0 | 0 days 00:00:23.726000 | 0 days 00:00:32.614000 | 0 days 00:00:25.760000 |
| 1221 | TSU | 41.0 | 0 days 00:00:23.631000 | 0 days 00:00:32.946000 | 0 days 00:00:24.898000 |
| 1222 | TSU | 42.0 | 0 days 00:00:24.616000 | 0 days 00:00:33.434000 | 0 days 00:00:26.263000 |
| 1223 | TSU | 43.0 | 0 days 00:00:23.425000 | 0 days 00:00:33.006000 | 0 days 00:00:24.444000 |
| 1224 | TSU | 44.0 | 0 days 00:00:24.938000 | 0 days 00:00:33.566000 | 0 days 00:00:27.882000 |
| 1225 | TSU | 45.0 | 0 days 00:00:44.027000 | 0 days 00:00:32.793000 | 0 days 00:00:24.247000 |
| 1226 | TSU | 46.0 | 0 days 00:00:24.101000 | 0 days 00:00:32.155000 | 0 days 00:00:24.450000 |
| 1227 | TSU | 47.0 | 0 days 00:00:24.080000 | 0 days 00:00:32.252000 | 0 days 00:00:24.129000 |
| 1228 | TSU | 48.0 | 0 days 00:00:23.778000 | 0 days 00:00:34.321000 | 0 days 00:00:24.604000 |
| 1229 | TSU | 49.0 | 0 days 00:00:23.966000 | 0 days 00:00:32.887000 | 0 days 00:00:24.946000 |
| 1230 | TSU | 50.0 | 0 days 00:00:23.704000 | 0 days 00:00:32.042000 | 0 days 00:00:24.069000 |
| 1231 | TSU | 51.0 | 0 days 00:00:23.500000 | 0 days 00:00:32.084000 | 0 days 00:00:24.094000 |
| 1232 | TSU | 52.0 | 0 days 00:00:23.662000 | 0 days 00:00:32.134000 | 0 days 00:00:24.022000 |
| 1233 | TSU | 53.0 | 0 days 00:00:23.500000 | 0 days 00:00:32.246000 | 0 days 00:00:24.283000 |
| 1234 | TSU | 54.0 | 0 days 00:00:23.537000 | 0 days 00:00:32.548000 | 0 days 00:00:24.352000 |
| 1235 | TSU | 55.0 | 0 days 00:00:23.318000 | 0 days 00:00:32.132000 | 0 days 00:00:24.114000 |
| 1236 | TSU | 56.0 | 0 days 00:00:23.502000 | 0 days 00:00:31.916000 | 0 days 00:00:24.029000 |
| 1237 | TSU | 57.0 | 0 days 00:00:23.412000 | 0 days 00:00:32.041000 | 0 days 00:00:24.011000 |
| 1238 | TSU | 58.0 | 0 days 00:00:23.270000 | 0 days 00:00:32.147000 | 0 days 00:00:24.225000 |
| 1239 | TSU | 59.0 | 0 days 00:00:23.582000 | 0 days 00:00:32.327000 | 0 days 00:00:24.220000 |
| 1240 | TSU | 60.0 | 0 days 00:00:23.478000 | 0 days 00:00:32.250000 | 0 days 00:00:24.068000 |
| 1241 | TSU | 61.0 | 0 days 00:00:23.460000 | 0 days 00:00:32.452000 | 0 days 00:00:24.205000 |
| 1242 | TSU | 62.0 | 0 days 00:00:23.525000 | 0 days 00:00:34.385000 | 0 days 00:00:26.142000 |
| 1243 | TSU | 63.0 | 0 days 00:00:23.307000 | 0 days 00:00:32.756000 | 0 days 00:00:24.246000 |
| 1244 | TSU | 64.0 | 0 days 00:00:23.478000 | 0 days 00:00:32.264000 | 0 days 00:00:24.361000 |
| 1245 | TSU | 65.0 | 0 days 00:00:23.619000 | 0 days 00:00:32.522000 | 0 days 00:00:24.374000 |
| 1246 | SAR | 1.0 | NaT | 0 days 00:00:34.997000 | 0 days 00:00:25.251000 |
| 1247 | SAR | 2.0 | 0 days 00:00:25.430000 | 0 days 00:00:33.289000 | 0 days 00:00:24.894000 |
| 1248 | SAR | 3.0 | 0 days 00:00:24.195000 | 0 days 00:00:33.352000 | 0 days 00:00:24.944000 |
| 1249 | SAR | 4.0 | 0 days 00:00:24.258000 | 0 days 00:00:33.298000 | 0 days 00:00:25.001000 |
| 1250 | SAR | 5.0 | 0 days 00:00:24.114000 | 0 days 00:00:33.512000 | 0 days 00:00:25.243000 |
| 1251 | SAR | 6.0 | 0 days 00:00:24.932000 | 0 days 00:00:33.515000 | 0 days 00:00:25.190000 |
| 1252 | SAR | 7.0 | 0 days 00:00:24.045000 | 0 days 00:00:34.176000 | 0 days 00:00:25.148000 |
| 1253 | SAR | 8.0 | 0 days 00:00:23.973000 | 0 days 00:00:34.129000 | 0 days 00:00:25.243000 |
| 1254 | SAR | 9.0 | 0 days 00:00:24.018000 | 0 days 00:00:33.674000 | 0 days 00:00:25.095000 |
| 1255 | SAR | 10.0 | 0 days 00:00:24.229000 | 0 days 00:00:33.497000 | 0 days 00:00:25.145000 |
| 1256 | SAR | 11.0 | 0 days 00:00:24.177000 | 0 days 00:00:33.210000 | 0 days 00:00:25.201000 |
| 1257 | SAR | 12.0 | 0 days 00:00:23.987000 | 0 days 00:00:33.373000 | 0 days 00:00:25.101000 |
| 1258 | SAR | 13.0 | 0 days 00:00:24.379000 | 0 days 00:00:33.475000 | 0 days 00:00:25.251000 |
| 1259 | SAR | 14.0 | 0 days 00:00:24.502000 | 0 days 00:00:33.335000 | 0 days 00:00:28.542000 |
| 1260 | SAR | 15.0 | 0 days 00:00:43.510000 | 0 days 00:00:32.146000 | 0 days 00:00:23.963000 |
| 1261 | SAR | 16.0 | 0 days 00:00:24.021000 | 0 days 00:00:32.427000 | 0 days 00:00:24.460000 |
| 1262 | SAR | 17.0 | 0 days 00:00:24.054000 | 0 days 00:00:32.406000 | 0 days 00:00:24.617000 |
| 1263 | SAR | 18.0 | 0 days 00:00:24.248000 | 0 days 00:00:32.623000 | 0 days 00:00:24.508000 |
| 1264 | SAR | 19.0 | 0 days 00:00:24.164000 | 0 days 00:00:32.738000 | 0 days 00:00:24.652000 |
| 1265 | SAR | 20.0 | 0 days 00:00:24.116000 | 0 days 00:00:32.725000 | 0 days 00:00:24.781000 |
| 1266 | SAR | 21.0 | 0 days 00:00:24.135000 | 0 days 00:00:32.602000 | 0 days 00:00:24.603000 |
| 1267 | SAR | 22.0 | 0 days 00:00:24.084000 | 0 days 00:00:32.865000 | 0 days 00:00:24.935000 |
| 1268 | SAR | 23.0 | 0 days 00:00:24.135000 | 0 days 00:00:32.921000 | 0 days 00:00:24.886000 |
| 1269 | SAR | 24.0 | 0 days 00:00:24.285000 | 0 days 00:00:33.041000 | 0 days 00:00:25.783000 |
| 1270 | SAR | 25.0 | 0 days 00:00:23.901000 | 0 days 00:00:33.462000 | 0 days 00:00:24.967000 |
| 1271 | SAR | 26.0 | 0 days 00:00:24.236000 | 0 days 00:00:33.316000 | 0 days 00:00:24.995000 |
| 1272 | SAR | 27.0 | 0 days 00:00:24.363000 | 0 days 00:00:33.154000 | 0 days 00:00:25.061000 |
| 1273 | SAR | 28.0 | 0 days 00:00:24.389000 | 0 days 00:00:33.233000 | 0 days 00:00:24.965000 |
| 1274 | SAR | 29.0 | 0 days 00:00:24.192000 | 0 days 00:00:33.129000 | 0 days 00:00:25.104000 |
| 1275 | SAR | 30.0 | 0 days 00:00:24.410000 | 0 days 00:00:33.252000 | 0 days 00:00:25.150000 |
| 1276 | SAR | 31.0 | 0 days 00:00:24.455000 | 0 days 00:00:33.133000 | 0 days 00:00:25.133000 |
| 1277 | SAR | 32.0 | 0 days 00:00:24.330000 | 0 days 00:00:33.086000 | 0 days 00:00:25.028000 |
| 1278 | SAR | 33.0 | 0 days 00:00:24.621000 | 0 days 00:00:33.363000 | 0 days 00:00:24.959000 |
| 1279 | SAR | 34.0 | 0 days 00:00:24.223000 | 0 days 00:00:33.212000 | 0 days 00:00:28.390000 |
| 1280 | SAR | 35.0 | 0 days 00:00:44.101000 | 0 days 00:00:32.481000 | 0 days 00:00:24.013000 |
| 1281 | SAR | 36.0 | 0 days 00:00:23.800000 | 0 days 00:00:32.207000 | 0 days 00:00:24.267000 |
| 1282 | SAR | 37.0 | 0 days 00:00:23.747000 | 0 days 00:00:32.372000 | 0 days 00:00:24.283000 |
| 1283 | SAR | 38.0 | 0 days 00:00:23.768000 | 0 days 00:00:32.191000 | 0 days 00:00:24.213000 |
| 1284 | SAR | 39.0 | 0 days 00:00:23.802000 | 0 days 00:00:32.407000 | 0 days 00:00:24.207000 |
| 1285 | SAR | 40.0 | 0 days 00:00:23.720000 | 0 days 00:00:32.359000 | 0 days 00:00:24.369000 |
| 1286 | SAR | 41.0 | 0 days 00:00:23.752000 | 0 days 00:00:32.389000 | 0 days 00:00:24.606000 |
| 1287 | SAR | 42.0 | 0 days 00:00:25.331000 | 0 days 00:00:32.830000 | 0 days 00:00:24.657000 |
| 1288 | SAR | 43.0 | 0 days 00:00:24.529000 | 0 days 00:00:32.820000 | 0 days 00:00:24.803000 |
| 1289 | SAR | 44.0 | 0 days 00:00:25.074000 | 0 days 00:00:33.106000 | 0 days 00:00:24.708000 |
| 1290 | SAR | 45.0 | 0 days 00:00:23.892000 | 0 days 00:00:32.631000 | 0 days 00:00:24.422000 |
| 1291 | SAR | 46.0 | 0 days 00:00:23.901000 | 0 days 00:00:32.592000 | 0 days 00:00:24.548000 |
| 1292 | SAR | 47.0 | 0 days 00:00:23.963000 | 0 days 00:00:33.604000 | 0 days 00:00:24.731000 |
| 1293 | SAR | 48.0 | 0 days 00:00:23.912000 | 0 days 00:00:32.563000 | 0 days 00:00:24.558000 |
| 1294 | SAR | 49.0 | 0 days 00:00:24.034000 | 0 days 00:00:32.522000 | 0 days 00:00:24.517000 |
| 1295 | SAR | 50.0 | 0 days 00:00:24.046000 | 0 days 00:00:32.514000 | 0 days 00:00:24.423000 |
| 1296 | SAR | 51.0 | 0 days 00:00:24.069000 | 0 days 00:00:33.078000 | 0 days 00:00:24.792000 |
| 1297 | SAR | 52.0 | 0 days 00:00:23.992000 | 0 days 00:00:32.537000 | 0 days 00:00:24.496000 |
| 1298 | SAR | 53.0 | 0 days 00:00:23.913000 | 0 days 00:00:32.650000 | 0 days 00:00:24.520000 |
| 1299 | SAR | 54.0 | 0 days 00:00:23.896000 | 0 days 00:00:32.703000 | 0 days 00:00:24.600000 |
| 1300 | SAR | 55.0 | 0 days 00:00:24.481000 | 0 days 00:00:32.785000 | 0 days 00:00:24.700000 |
| 1301 | SAR | 56.0 | 0 days 00:00:24.862000 | 0 days 00:00:32.798000 | 0 days 00:00:24.566000 |
| 1302 | SAR | 57.0 | 0 days 00:00:23.933000 | 0 days 00:00:32.629000 | 0 days 00:00:26.360000 |
| 1303 | SAR | 58.0 | 0 days 00:00:23.902000 | 0 days 00:00:32.876000 | 0 days 00:00:24.711000 |
| 1304 | SAR | 59.0 | 0 days 00:00:23.991000 | 0 days 00:00:32.854000 | 0 days 00:00:24.708000 |
| 1305 | SAR | 60.0 | 0 days 00:00:24.072000 | 0 days 00:00:34.369000 | 0 days 00:00:26.244000 |
| 1306 | SAR | 61.0 | 0 days 00:00:23.892000 | 0 days 00:00:32.790000 | 0 days 00:00:24.623000 |
| 1307 | SAR | 62.0 | 0 days 00:00:23.876000 | 0 days 00:00:32.868000 | 0 days 00:00:24.632000 |
| 1308 | SAR | 63.0 | 0 days 00:00:23.920000 | 0 days 00:00:32.884000 | 0 days 00:00:24.808000 |
| 1309 | SAR | 64.0 | 0 days 00:00:25.139000 | 0 days 00:00:34.847000 | 0 days 00:00:25.217000 |
In [17]:
# Drop rows with missing or invalid lap times
laps = laps[laps['LapTime'].notnull()].copy()
# Convert LapTime from string to timedelta
laps['LapTime'] = pd.to_timedelta(laps['LapTime'])
# Convert LapTime to seconds for easier math
laps['LapTime_s'] = laps['LapTime'].dt.total_seconds()
# Sort properly
laps.sort_values(by=['Driver', 'LapNumber'], inplace=True)
In [18]:
# Calculate lap-to-lap deltas (positive = slower than last lap)
laps['DeltaLap_s'] = (
laps.groupby('Driver')['LapTime_s']
.diff().fillna(0) # 0 for first lap
)
laps['DeltaLap_s']
Out[18]:
264 0.000 265 -6.689 266 -0.589 267 0.043 268 0.638 269 0.943 270 -0.080 271 -0.914 272 -0.189 273 0.073 274 -0.471 275 -0.905 276 0.539 277 0.266 278 -0.015 279 0.706 280 0.714 281 -1.074 282 3.112 283 13.431 284 -18.241 285 -0.143 286 0.428 287 0.367 288 0.059 289 0.092 290 0.100 291 0.020 292 0.046 293 -0.031 294 -0.150 295 -0.372 296 0.189 297 0.823 298 -0.724 299 -0.164 300 -0.035 301 -0.457 302 1.846 303 -1.269 304 0.026 305 -0.602 306 -0.102 307 0.104 308 3.493 309 14.276 310 -19.336 311 -0.245 312 -0.008 313 -0.385 314 0.568 315 0.764 316 -0.954 317 0.703 318 -0.135 319 -0.255 320 1.978 321 -1.648 322 0.521 323 0.707 324 -0.931 325 -0.035 326 0.023 327 -0.253 328 0.356 66 0.000 67 -3.847 68 -0.173 69 0.075 70 0.554 71 0.150 72 0.023 73 0.315 74 -0.331 75 0.173 76 -0.188 77 0.313 78 -0.055 79 0.151 80 0.376 81 2.989 82 13.366 83 -18.294 84 -0.731 85 0.396 86 0.212 87 0.093 88 -0.220 89 0.271 90 -0.087 91 -0.057 92 0.675 93 -0.354 94 -0.479 95 0.139 96 0.431 97 1.030 98 -1.099 99 -0.272 100 0.665 101 -0.045 102 -1.202 103 0.254 104 0.379 105 -0.005 106 -0.432 107 0.624 108 3.925 109 12.045 110 -17.435 111 -0.950 112 0.403 113 0.628 114 0.136 115 -0.767 116 0.068 117 0.140 118 0.188 119 -0.072 120 0.255 121 -0.356 122 0.191 123 0.065 124 -0.048 125 -0.005 126 0.204 127 0.498 128 -0.395 129 0.224 130 -0.157 131 1.032 198 0.000 199 -4.581 200 0.445 201 -0.718 202 0.363 203 0.295 204 -0.231 205 0.397 206 -0.063 207 -0.316 208 0.462 209 0.085 210 -0.286 211 0.319 212 0.109 213 -0.810 214 0.230 215 -0.208 216 0.181 217 0.063 218 0.338 219 -0.046 220 0.272 221 3.614 222 13.125 223 -19.081 224 -0.570 225 0.513 226 0.158 227 0.193 228 0.116 229 -0.282 230 0.026 231 0.075 232 0.567 233 -0.270 234 -0.354 235 0.087 236 -0.181 237 0.206 238 -0.003 239 0.119 240 0.200 241 0.083 242 -0.163 243 0.100 244 3.760 245 13.755 246 -19.426 247 0.092 248 -0.003 249 -0.282 250 0.059 251 0.429 252 0.166 253 -0.021 254 -0.420 255 0.103 256 -0.028 257 0.262 258 0.288 259 -0.202 260 0.432 261 0.065 262 0.044 263 0.336 329 0.000 330 -3.738 331 0.028 332 0.459 333 0.432 334 -0.078 335 0.237 336 0.150 337 -0.300 338 0.080 339 0.062 340 0.069 341 0.078 342 0.228 343 -0.119 344 -1.070 345 0.437 346 -0.461 347 0.188 348 0.181 349 0.091 350 0.021 351 4.257 352 12.488 353 -19.170 354 1.353 355 -0.539 356 0.518 357 -0.115 358 -0.331 359 0.756 360 -0.277 361 0.222 362 -0.235 363 0.623 364 -1.031 365 -0.222 366 0.082 367 -0.092 368 0.530 369 -0.834 370 0.600 371 -0.012 372 -0.042 373 -0.703 374 0.665 375 3.567 376 14.140 377 -19.749 378 0.563 379 -0.825 380 0.539 381 0.260 382 0.073 383 0.376 384 -0.736 385 0.266 386 0.366 387 -0.314 388 0.326 389 -0.466 390 0.275 391 0.094 392 0.108 393 0.491 394 0.909 132 0.000 133 -6.381 134 -0.385 135 0.248 136 -0.442 137 -0.129 138 -0.036 139 0.520 140 -0.529 141 0.199 142 0.054 143 0.249 144 3.603 145 13.582 146 -19.001 147 0.416 148 -0.163 149 -0.258 150 0.397 151 0.102 152 0.372 153 0.172 154 -0.123 155 -0.473 156 -0.016 157 0.228 158 0.097 159 1.261 160 -0.945 161 0.169 162 4.017 163 11.071 164 -17.839 165 0.896 166 -0.232 167 -0.380 168 0.123 169 0.429 170 -0.498 171 0.377 172 0.020 173 -0.315 174 0.408 175 0.137 176 -0.148 177 -0.063 178 0.440 179 -0.035 180 3.392 181 13.787 182 -19.205 183 0.588 184 -0.083 185 0.140 186 0.110 187 0.032 188 0.363 189 0.370 190 -0.112 191 -0.176 192 -0.245 193 0.162 194 0.754 195 -0.331 196 -0.233 197 0.027 395 0.000 396 -5.466 397 -0.842 398 0.032 399 0.418 400 -0.159 401 0.360 402 0.114 403 -0.030 404 0.549 405 -0.563 406 0.197 407 0.235 408 0.398 409 -0.824 410 0.040 411 0.321 412 -0.348 413 0.222 414 0.156 415 5.181 416 12.032 417 -19.263 418 0.158 419 -0.260 420 0.122 421 0.378 422 0.395 423 -0.803 424 0.187 425 -0.135 426 0.550 427 0.118 428 -0.887 429 0.140 430 -0.068 431 -0.067 432 0.124 433 -0.005 434 -0.121 435 -0.037 436 0.308 437 0.220 438 -0.225 439 0.742 440 3.417 441 13.735 442 -18.502 443 -1.158 444 0.098 445 -0.076 446 0.311 447 -0.269 448 0.131 449 -0.413 450 -0.067 451 0.419 452 0.190 453 -0.146 454 -0.208 455 -0.152 456 0.209 457 0.401 458 0.253 459 0.457 460 -0.003 0 0.000 1 -3.315 2 -0.507 3 1.402 4 0.061 5 0.049 6 0.097 7 0.016 8 0.053 9 -0.039 10 -0.049 11 0.422 12 -0.569 13 0.182 14 0.108 15 0.126 16 3.653 17 12.781 18 -17.932 19 0.241 20 0.338 21 -0.562 22 -0.137 23 0.096 24 -0.338 25 0.519 26 -0.188 27 0.407 28 -0.309 29 0.015 30 0.204 31 -0.120 32 -0.055 33 0.122 34 0.227 35 -0.259 36 -0.123 37 0.010 38 -0.144 39 0.641 40 -0.662 41 0.272 42 0.381 43 3.126 44 13.626 45 -19.167 46 0.112 47 0.418 48 -0.162 49 -0.180 50 -0.116 51 -0.027 52 0.209 53 -0.364 54 0.245 55 0.333 56 -0.227 57 0.060 58 -0.073 59 0.051 60 0.195 61 -0.059 62 0.242 63 0.529 64 0.395 65 0.307 Name: DeltaLap_s, dtype: float64
In [19]:
import matplotlib.pyplot as plt
driver = 'NOR'
laps[laps['Driver'] == driver].plot(
x='LapNumber', y='DeltaLap_s', title=f'{driver} - Lap Deltas',
marker='o', linestyle='-'
)
plt.ylabel("Δ Lap Time (s)")
plt.grid()
plt.show()
In [20]:
# Group by driver & stint
laps['StintLapNumber'] = (
laps.groupby(['Driver', 'Stint']).cumcount() + 1
)
# Normalize lap time to stint start
laps['StintStartLapTime'] = (
laps.groupby(['Driver', 'Stint'])['LapTime_s']
.transform('first')
)
laps['StintDelta_s'] = laps['LapTime_s'] - laps['StintStartLapTime']
In [21]:
laps['StintDelta_s']
Out[21]:
264 0.000 265 -6.689 266 -7.278 267 -7.235 268 -6.597 269 -5.654 270 -5.734 271 -6.648 272 -6.837 273 -6.764 274 -7.235 275 -8.140 276 -7.601 277 -7.335 278 -7.350 279 -6.644 280 -5.930 281 -7.004 282 -3.892 283 0.000 284 -18.241 285 -18.384 286 -17.956 287 -17.589 288 -17.530 289 -17.438 290 -17.338 291 -17.318 292 -17.272 293 -17.303 294 -17.453 295 -17.825 296 -17.636 297 -16.813 298 -17.537 299 -17.701 300 -17.736 301 -18.193 302 -16.347 303 -17.616 304 -17.590 305 -18.192 306 -18.294 307 -18.190 308 -14.697 309 0.000 310 -19.336 311 -19.581 312 -19.589 313 -19.974 314 -19.406 315 -18.642 316 -19.596 317 -18.893 318 -19.028 319 -19.283 320 -17.305 321 -18.953 322 -18.432 323 -17.725 324 -18.656 325 -18.691 326 -18.668 327 -18.921 328 -18.565 66 0.000 67 -3.847 68 -4.020 69 -3.945 70 -3.391 71 -3.241 72 -3.218 73 -2.903 74 -3.234 75 -3.061 76 -3.249 77 -2.936 78 -2.991 79 -2.840 80 -2.464 81 0.525 82 0.000 83 -18.294 84 -19.025 85 -18.629 86 -18.417 87 -18.324 88 -18.544 89 -18.273 90 -18.360 91 -18.417 92 -17.742 93 -18.096 94 -18.575 95 -18.436 96 -18.005 97 -16.975 98 -18.074 99 -18.346 100 -17.681 101 -17.726 102 -18.928 103 -18.674 104 -18.295 105 -18.300 106 -18.732 107 -18.108 108 -14.183 109 0.000 110 -17.435 111 -18.385 112 -17.982 113 -17.354 114 -17.218 115 -17.985 116 -17.917 117 -17.777 118 -17.589 119 -17.661 120 -17.406 121 -17.762 122 -17.571 123 -17.506 124 -17.554 125 -17.559 126 -17.355 127 -16.857 128 -17.252 129 -17.028 130 -17.185 131 -16.153 198 0.000 199 -4.581 200 -4.136 201 -4.854 202 -4.491 203 -4.196 204 -4.427 205 -4.030 206 -4.093 207 -4.409 208 -3.947 209 -3.862 210 -4.148 211 -3.829 212 -3.720 213 -4.530 214 -4.300 215 -4.508 216 -4.327 217 -4.264 218 -3.926 219 -3.972 220 -3.700 221 -0.086 222 0.000 223 -19.081 224 -19.651 225 -19.138 226 -18.980 227 -18.787 228 -18.671 229 -18.953 230 -18.927 231 -18.852 232 -18.285 233 -18.555 234 -18.909 235 -18.822 236 -19.003 237 -18.797 238 -18.800 239 -18.681 240 -18.481 241 -18.398 242 -18.561 243 -18.461 244 -14.701 245 0.000 246 -19.426 247 -19.334 248 -19.337 249 -19.619 250 -19.560 251 -19.131 252 -18.965 253 -18.986 254 -19.406 255 -19.303 256 -19.331 257 -19.069 258 -18.781 259 -18.983 260 -18.551 261 -18.486 262 -18.442 263 -18.106 329 0.000 330 -3.738 331 -3.710 332 -3.251 333 -2.819 334 -2.897 335 -2.660 336 -2.510 337 -2.810 338 -2.730 339 -2.668 340 -2.599 341 -2.521 342 -2.293 343 -2.412 344 -3.482 345 -3.045 346 -3.506 347 -3.318 348 -3.137 349 -3.046 350 -3.025 351 1.232 352 0.000 353 -19.170 354 -17.817 355 -18.356 356 -17.838 357 -17.953 358 -18.284 359 -17.528 360 -17.805 361 -17.583 362 -17.818 363 -17.195 364 -18.226 365 -18.448 366 -18.366 367 -18.458 368 -17.928 369 -18.762 370 -18.162 371 -18.174 372 -18.216 373 -18.919 374 -18.254 375 -14.687 376 0.000 377 -19.749 378 -19.186 379 -20.011 380 -19.472 381 -19.212 382 -19.139 383 -18.763 384 -19.499 385 -19.233 386 -18.867 387 -19.181 388 -18.855 389 -19.321 390 -19.046 391 -18.952 392 -18.844 393 -18.353 394 -17.444 132 0.000 133 -6.381 134 -6.766 135 -6.518 136 -6.960 137 -7.089 138 -7.125 139 -6.605 140 -7.134 141 -6.935 142 -6.881 143 -6.632 144 -3.029 145 0.000 146 -19.001 147 -18.585 148 -18.748 149 -19.006 150 -18.609 151 -18.507 152 -18.135 153 -17.963 154 -18.086 155 -18.559 156 -18.575 157 -18.347 158 -18.250 159 -16.989 160 -17.934 161 -17.765 162 -13.748 163 0.000 164 -17.839 165 -16.943 166 -17.175 167 -17.555 168 -17.432 169 -17.003 170 -17.501 171 -17.124 172 -17.104 173 -17.419 174 -17.011 175 -16.874 176 -17.022 177 -17.085 178 -16.645 179 -16.680 180 -13.288 181 0.000 182 -19.205 183 -18.617 184 -18.700 185 -18.560 186 -18.450 187 -18.418 188 -18.055 189 -17.685 190 -17.797 191 -17.973 192 -18.218 193 -18.056 194 -17.302 195 -17.633 196 -17.866 197 -17.839 395 0.000 396 -5.466 397 -6.308 398 -6.276 399 -5.858 400 -6.017 401 -5.657 402 -5.543 403 -5.573 404 -5.024 405 -5.587 406 -5.390 407 -5.155 408 -4.757 409 -5.581 410 -5.541 411 -5.220 412 -5.568 413 -5.346 414 -5.190 415 -0.009 416 0.000 417 -19.263 418 -19.105 419 -19.365 420 -19.243 421 -18.865 422 -18.470 423 -19.273 424 -19.086 425 -19.221 426 -18.671 427 -18.553 428 -19.440 429 -19.300 430 -19.368 431 -19.435 432 -19.311 433 -19.316 434 -19.437 435 -19.474 436 -19.166 437 -18.946 438 -19.171 439 -18.429 440 -15.012 441 0.000 442 -18.502 443 -19.660 444 -19.562 445 -19.638 446 -19.327 447 -19.596 448 -19.465 449 -19.878 450 -19.945 451 -19.526 452 -19.336 453 -19.482 454 -19.690 455 -19.842 456 -19.633 457 -19.232 458 -18.979 459 -18.522 460 -18.525 0 0.000 1 -3.315 2 -3.822 3 -2.420 4 -2.359 5 -2.310 6 -2.213 7 -2.197 8 -2.144 9 -2.183 10 -2.232 11 -1.810 12 -2.379 13 -2.197 14 -2.089 15 -1.963 16 1.690 17 0.000 18 -17.932 19 -17.691 20 -17.353 21 -17.915 22 -18.052 23 -17.956 24 -18.294 25 -17.775 26 -17.963 27 -17.556 28 -17.865 29 -17.850 30 -17.646 31 -17.766 32 -17.821 33 -17.699 34 -17.472 35 -17.731 36 -17.854 37 -17.844 38 -17.988 39 -17.347 40 -18.009 41 -17.737 42 -17.356 43 -14.230 44 0.000 45 -19.167 46 -19.055 47 -18.637 48 -18.799 49 -18.979 50 -19.095 51 -19.122 52 -18.913 53 -19.277 54 -19.032 55 -18.699 56 -18.926 57 -18.866 58 -18.939 59 -18.888 60 -18.693 61 -18.752 62 -18.510 63 -17.981 64 -17.586 65 -17.279 Name: StintDelta_s, dtype: float64
In [22]:
for drv in laps['Driver'].unique():
driver_data = laps[laps['Driver'] == drv]
for stint in driver_data['Stint'].unique():
stint_data = driver_data[driver_data['Stint'] == stint]
plt.plot(
stint_data['StintLapNumber'],
stint_data['StintDelta_s'],
label=f"{drv} - Stint {stint}"
)
plt.title("Stint Performance Degradation")
plt.xlabel("Lap in Stint")
plt.ylabel("Δ Lap Time from Stint Start (s)")
plt.grid(True)
plt.legend()
plt.show()
In [23]:
# Define team drivers
ferrari_drivers = [drv for drv in session.drivers if session.get_driver(drv)['TeamName'] == 'Ferrari']
mclaren_drivers = [drv for drv in session.drivers if session.get_driver(drv)['TeamName'] == 'McLaren']
# Define strategy space: lap numbers when first or second pit stop could be made
strategy_laps = list(range(13, 27)) + list(range(34, 53)) # e.g., laps 13–26 and 34–52
In [24]:
pip install nashpy
Requirement already satisfied: nashpy in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (0.0.41) Requirement already satisfied: numpy>=1.21.0 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from nashpy) (1.26.4) Requirement already satisfied: scipy>=0.19.0 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from nashpy) (1.13.1) Requirement already satisfied: networkx>=3.0.0 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from nashpy) (3.3) Requirement already satisfied: deprecated>=1.2.14 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from nashpy) (1.2.18) Requirement already satisfied: wrapt<2,>=1.10 in c:\users\kanmanivishwaa\.ms-ad\new folder\lib\site-packages (from deprecated>=1.2.14->nashpy) (1.14.1) Note: you may need to restart the kernel to use updated packages.
In [25]:
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# Drivers
ferrari = ["Leclerc", "Sainz"]
mclaren = ["Norris", "Piastri"]
# Strategies
strategies = [
"Pit_Lap_X", "Pit_SC", "Extend_Stint",
"Double_Stack", "Undercut", "Overcut"
]
# Team-level payoff matrix (Team A = Ferrari perspective)
payoff_matrix = {
"Pit_Lap_X": {"Pit_Lap_X": 0, "Pit_SC": -3, "Extend_Stint": -1, "Double_Stack": 2, "Undercut": -2, "Overcut": 1},
"Pit_SC": {"Pit_Lap_X": 3, "Pit_SC": 0, "Extend_Stint": 1, "Double_Stack": -1, "Undercut": -1, "Overcut": 2},
"Extend_Stint": {"Pit_Lap_X": 1, "Pit_SC": -1, "Extend_Stint": 0, "Double_Stack": -3, "Undercut": 2, "Overcut": -2},
"Double_Stack": {"Pit_Lap_X": -2, "Pit_SC": 1, "Extend_Stint": 3, "Double_Stack": 0, "Undercut": -1, "Overcut": 2},
"Undercut": {"Pit_Lap_X": 2, "Pit_SC": 1, "Extend_Stint": -2, "Double_Stack": 1, "Undercut": 0, "Overcut": 3},
"Overcut": {"Pit_Lap_X": -1, "Pit_SC": -2, "Extend_Stint": 2, "Double_Stack": -3, "Undercut": -3, "Overcut": 0}
}
# Simulated payoff per driver combo
results = []
for da in ferrari:
for db in mclaren:
for sa in strategies:
for sb in strategies:
payoff = payoff_matrix[sa][sb]
results.append({
"Ferrari_Driver": da,
"McLaren_Driver": db,
"Strategy_Ferrari": sa,
"Strategy_McLaren": sb,
"Payoff_Ferrari_s": payoff
})
df = pd.DataFrame(results)
# Analyse best response per Ferrari driver vs each McLaren driver & strategy
best_responses = (df.groupby(["Ferrari_Driver", "McLaren_Driver", "Strategy_McLaren"])
.apply(lambda x: x.nlargest(1, "Payoff_Ferrari_s"))
.reset_index(drop=True))
best_responses
C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\1486667730.py:44: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning. .apply(lambda x: x.nlargest(1, "Payoff_Ferrari_s"))
Out[25]:
| Ferrari_Driver | McLaren_Driver | Strategy_Ferrari | Strategy_McLaren | Payoff_Ferrari_s | |
|---|---|---|---|---|---|
| 0 | Leclerc | Norris | Pit_Lap_X | Double_Stack | 2 |
| 1 | Leclerc | Norris | Double_Stack | Extend_Stint | 3 |
| 2 | Leclerc | Norris | Undercut | Overcut | 3 |
| 3 | Leclerc | Norris | Pit_SC | Pit_Lap_X | 3 |
| 4 | Leclerc | Norris | Double_Stack | Pit_SC | 1 |
| 5 | Leclerc | Norris | Extend_Stint | Undercut | 2 |
| 6 | Leclerc | Piastri | Pit_Lap_X | Double_Stack | 2 |
| 7 | Leclerc | Piastri | Double_Stack | Extend_Stint | 3 |
| 8 | Leclerc | Piastri | Undercut | Overcut | 3 |
| 9 | Leclerc | Piastri | Pit_SC | Pit_Lap_X | 3 |
| 10 | Leclerc | Piastri | Double_Stack | Pit_SC | 1 |
| 11 | Leclerc | Piastri | Extend_Stint | Undercut | 2 |
| 12 | Sainz | Norris | Pit_Lap_X | Double_Stack | 2 |
| 13 | Sainz | Norris | Double_Stack | Extend_Stint | 3 |
| 14 | Sainz | Norris | Undercut | Overcut | 3 |
| 15 | Sainz | Norris | Pit_SC | Pit_Lap_X | 3 |
| 16 | Sainz | Norris | Double_Stack | Pit_SC | 1 |
| 17 | Sainz | Norris | Extend_Stint | Undercut | 2 |
| 18 | Sainz | Piastri | Pit_Lap_X | Double_Stack | 2 |
| 19 | Sainz | Piastri | Double_Stack | Extend_Stint | 3 |
| 20 | Sainz | Piastri | Undercut | Overcut | 3 |
| 21 | Sainz | Piastri | Pit_SC | Pit_Lap_X | 3 |
| 22 | Sainz | Piastri | Double_Stack | Pit_SC | 1 |
| 23 | Sainz | Piastri | Extend_Stint | Undercut | 2 |
In [26]:
# Extended metrics for each strategy vs opponent's strategy
time_matrix = {
"Pit_Lap_X": {"Pit_Lap_X": 0, "Pit_SC": -5, "Extend_Stint": -2, "Double_Stack": 3, "Undercut": -3, "Overcut": 1},
"Pit_SC": {"Pit_Lap_X": 5, "Pit_SC": 0, "Extend_Stint": 2, "Double_Stack": -2, "Undercut": -1, "Overcut": 3},
"Extend_Stint": {"Pit_Lap_X": 2, "Pit_SC": -2, "Extend_Stint": 0, "Double_Stack": -5, "Undercut": 4, "Overcut": -3},
"Double_Stack": {"Pit_Lap_X": -3,"Pit_SC": 2, "Extend_Stint": 5, "Double_Stack": 0, "Undercut": -2, "Overcut": 2},
"Undercut": {"Pit_Lap_X": 3, "Pit_SC": 1, "Extend_Stint": -4, "Double_Stack": 2, "Undercut": 0, "Overcut": 4},
"Overcut": {"Pit_Lap_X": -1,"Pit_SC": -3, "Extend_Stint": 3, "Double_Stack": -5, "Undercut": -4, "Overcut": 0}
}
position_matrix = {
"Pit_Lap_X": {"Pit_Lap_X": 0, "Pit_SC": -1, "Extend_Stint": 0, "Double_Stack": 1, "Undercut": -1, "Overcut": 0},
"Pit_SC": {"Pit_Lap_X": 1, "Pit_SC": 0, "Extend_Stint": 1, "Double_Stack": 0, "Undercut": -1, "Overcut": 1},
"Extend_Stint": {"Pit_Lap_X": 0, "Pit_SC": -1, "Extend_Stint": 0, "Double_Stack": -2, "Undercut": 2, "Overcut": -1},
"Double_Stack": {"Pit_Lap_X": 1, "Pit_SC": 0, "Extend_Stint": 2, "Double_Stack": 0, "Undercut": -1, "Overcut": 1},
"Undercut": {"Pit_Lap_X": 1, "Pit_SC": 1, "Extend_Stint": -2, "Double_Stack": 1, "Undercut": 0, "Overcut": 2},
"Overcut": {"Pit_Lap_X": -1,"Pit_SC": -1, "Extend_Stint": 1, "Double_Stack": -2, "Undercut": -2, "Overcut": 0}
}
tire_deg_matrix = {
"Pit_Lap_X": {"Pit_Lap_X": 2, "Pit_SC": 1, "Extend_Stint": 4, "Double_Stack": 2, "Undercut": 3, "Overcut": 1},
"Pit_SC": {"Pit_Lap_X": 1, "Pit_SC": 1, "Extend_Stint": 2, "Double_Stack": 1, "Undercut": 2, "Overcut": 1},
"Extend_Stint": {"Pit_Lap_X": 4, "Pit_SC": 3, "Extend_Stint": 5, "Double_Stack": 4, "Undercut": 5, "Overcut": 3},
"Double_Stack": {"Pit_Lap_X": 2, "Pit_SC": 1, "Extend_Stint": 4, "Double_Stack": 2, "Undercut": 3, "Overcut": 2},
"Undercut": {"Pit_Lap_X": 3, "Pit_SC": 2, "Extend_Stint": 5, "Double_Stack": 3, "Undercut": 3, "Overcut": 4},
"Overcut": {"Pit_Lap_X": 1, "Pit_SC": 1, "Extend_Stint": 3, "Double_Stack": 2, "Undercut": 4, "Overcut": 2}
}
In [27]:
import pandas as pd
import plotly.express as px
# Drivers
ferrari = ["Leclerc", "Sainz"]
mclaren = ["Norris", "Piastri"]
# Strategies
strategies = [
"Pit_Lap_X", "Pit_SC", "Extend_Stint",
"Double_Stack", "Undercut", "Overcut"
]
# Define time impacts and degradation effects
strategy_effects = {
"Pit_Lap_X": {"time": 0, "degradation": 0, "position": 0},
"Pit_SC": {"time": -5, "degradation": -2, "position": 1},
"Extend_Stint": {"time": 3, "degradation": 5, "position": -1},
"Double_Stack": {"time": -2, "degradation": -1, "position": 0},
"Undercut": {"time": -4, "degradation": 2, "position": 1},
"Overcut": {"time": 2, "degradation": -3, "position": -1}
}
# Payoff matrix
payoff_matrix = {
"Pit_Lap_X": {"Pit_Lap_X": 0, "Pit_SC": -3, "Extend_Stint": -1, "Double_Stack": 2, "Undercut": -2, "Overcut": 1},
"Pit_SC": {"Pit_Lap_X": 3, "Pit_SC": 0, "Extend_Stint": 1, "Double_Stack": -1, "Undercut": -1, "Overcut": 2},
"Extend_Stint": {"Pit_Lap_X": 1, "Pit_SC": -1, "Extend_Stint": 0, "Double_Stack": -3, "Undercut": 2, "Overcut": -2},
"Double_Stack": {"Pit_Lap_X": -2, "Pit_SC": 1, "Extend_Stint": 3, "Double_Stack": 0, "Undercut": -1, "Overcut": 2},
"Undercut": {"Pit_Lap_X": 2, "Pit_SC": 1, "Extend_Stint": -2, "Double_Stack": 1, "Undercut": 0, "Overcut": 3},
"Overcut": {"Pit_Lap_X": -1, "Pit_SC": -2, "Extend_Stint": 2, "Double_Stack": -3, "Undercut": -3, "Overcut": 0}
}
# Create results dataframe
results = []
for da in ferrari:
for db in mclaren:
for sa in strategies:
for sb in strategies:
payoff = payoff_matrix[sa][sb]
time_diff = strategy_effects[sa]["time"] - strategy_effects[sb]["time"]
pos_change = strategy_effects[sa]["position"] - strategy_effects[sb]["position"]
degradation = strategy_effects[sa]["degradation"] + strategy_effects[sb]["degradation"]
results.append({
"Ferrari_Driver": da,
"McLaren_Driver": db,
"Strategy_Ferrari": sa,
"Strategy_McLaren": sb,
"Payoff_Ferrari_s": payoff,
"Time_Difference": time_diff,
"Position_Change": pos_change,
"Degradation_Impact": degradation
})
df = pd.DataFrame(results)
# Get best responses with all metrics
best_responses = (df.groupby(["Ferrari_Driver", "McLaren_Driver", "Strategy_McLaren"], group_keys=False)
.apply(lambda x: x.nlargest(1, "Payoff_Ferrari_s"))
.reset_index(drop=True))
# Display best responses
best_responses_leclerc_norris = best_responses[
(best_responses.Ferrari_Driver=="Leclerc") &
(best_responses.McLaren_Driver=="Norris")
]
print("Best Responses for Leclerc vs Norris:")
display(best_responses_leclerc_norris)
Best Responses for Leclerc vs Norris:
C:\Users\KANMANIVISHWAA\AppData\Local\Temp\ipykernel_15932\4184778547.py:60: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning. .apply(lambda x: x.nlargest(1, "Payoff_Ferrari_s"))
| Ferrari_Driver | McLaren_Driver | Strategy_Ferrari | Strategy_McLaren | Payoff_Ferrari_s | Time_Difference | Position_Change | Degradation_Impact | |
|---|---|---|---|---|---|---|---|---|
| 0 | Leclerc | Norris | Pit_Lap_X | Double_Stack | 2 | 2 | 0 | -1 |
| 1 | Leclerc | Norris | Double_Stack | Extend_Stint | 3 | -5 | 1 | 4 |
| 2 | Leclerc | Norris | Undercut | Overcut | 3 | -6 | 2 | -1 |
| 3 | Leclerc | Norris | Pit_SC | Pit_Lap_X | 3 | -5 | 1 | -2 |
| 4 | Leclerc | Norris | Double_Stack | Pit_SC | 1 | 3 | -1 | -3 |
| 5 | Leclerc | Norris | Extend_Stint | Undercut | 2 | 7 | -2 | 7 |
In [28]:
import plotly.graph_objects as go
# Filter data for Leclerc vs Norris for visualization
heat = df[(df.Ferrari_Driver=="Leclerc") & (df.McLaren_Driver=="Norris")].copy()
# Preprocess labels and indices
strategy_labels = list(set(heat["Strategy_Ferrari"]).union(set(heat["Strategy_McLaren"])))
label_to_index = {label: i for i, label in enumerate(strategy_labels)}
# Generate source, target, and hover data
sources = [label_to_index[row["Strategy_Ferrari"]] for _, row in heat.iterrows()]
targets = [label_to_index[row["Strategy_McLaren"]] for _, row in heat.iterrows()]
customdata = [(row["Time_Difference"], row["Position_Change"], row["Degradation_Impact"]) for _, row in heat.iterrows()]
colors = ["red" if row["Payoff_Ferrari_s"] < 0 else "green" for _, row in heat.iterrows()]
# Define metric values
metric_values = {
"Payoff": [abs(row["Payoff_Ferrari_s"]) * 5 for _, row in heat.iterrows()],
"Time Difference": [abs(row["Time_Difference"]) * 10 for _, row in heat.iterrows()],
"Position Change": [abs(row["Position_Change"]) * 20 for _, row in heat.iterrows()],
"Degradation Impact": [abs(row["Degradation_Impact"]) * 10 for _, row in heat.iterrows()]
}
# Build a list of traces, only one is visible at a time
traces = []
for i, (metric_name, values) in enumerate(metric_values.items()):
trace = go.Sankey(
visible=(i == 0), # Only first trace visible initially
node=dict(
label=strategy_labels,
pad=15,
thickness=20,
line=dict(color="black", width=0.5),
hovertemplate='%{label}<extra></extra>'
),
link=dict(
source=sources,
target=targets,
value=values,
color=colors,
customdata=customdata,
hovertemplate=(
"<b>Ferrari Strategy</b>: %{source.label}<br>"
"<b>McLaren Strategy</b>: %{target.label}<br><br>"
"<b>Value</b>: %{value:.0f}<br>"
"<b>Time Difference</b>: %{customdata[0]} sec<br>"
"<b>Position Change</b>: %{customdata[1]}<br>"
"<b>Degradation Impact</b>: %{customdata[2]}"
"<extra></extra>"
)
)
)
traces.append(trace)
# Add traces to the figure
fig = go.Figure(data=traces)
# Add update menu to switch trace visibility
fig.update_layout(
title_text="Strategy Interactions: Leclerc (Ferrari) vs Norris (McLaren)",
title_font_size=20,
font_size=12,
updatemenus=[
dict(
type="dropdown",
direction="down",
active=0,
x=1.1,
y=0.5,
buttons=[
dict(label=metric,
method="update",
args=[{"visible": [i == j for j in range(len(metric_values))]}])
for i, metric in enumerate(metric_values)
]
)
],
annotations=[
dict(text="Metric:", x=1.1, y=0.6, xref="paper", yref="paper", showarrow=False)
]
)
fig.show()
In [29]:
import itertools
import pandas as pd
import numpy as np
# Define players and strategies
strategies = ["Pit_Lap_X", "Pit_SC", "Extend_Stint", "Double_Stack", "Undercut", "Overcut"]
# Define types
weather_types = ["Dry", "Light_Rain", "Heavy_Rain"]
sc_probs = ["Low", "Medium", "High"]
tire_states = ["New", "Used", "Worn"]
# Define priors
weather_priors = {"Dry": 0.6, "Light_Rain": 0.3, "Heavy_Rain": 0.1}
sc_priors = {"Low": 0.5, "Medium": 0.3, "High": 0.2}
tire_state_priors = {"New": 0.3, "Used": 0.5, "Worn": 0.2}
# Simplified base payoff matrix
base_payoffs = {
("Pit_Lap_X", "Pit_Lap_X"): 0,
("Pit_Lap_X", "Pit_SC"): -3,
("Pit_Lap_X", "Undercut"): -2,
("Pit_SC", "Pit_SC"): 0,
("Extend_Stint", "Overcut"): -2,
("Undercut", "Extend_Stint"): 3,
("Double_Stack", "Pit_SC"): 1,
("Overcut", "Undercut"): -3,
}
# Fill in symmetric
for s1 in strategies:
for s2 in strategies:
if (s1, s2) not in base_payoffs:
base_payoffs[(s1, s2)] = -base_payoffs.get((s2, s1), 0)
# Define type modifiers
def weather_modifier(w):
return {"Dry": 0, "Light_Rain": -1, "Heavy_Rain": -2}[w]
def sc_modifier(s):
return {"Low": 0, "Medium": 1, "High": 2}[s]
def tire_modifier(t):
return {"New": 0, "Used": 1, "Worn": 2}[t]
# Bayesian Expected Utility Calculation
results = []
for sf in strategies:
for sm in strategies:
expected_payoff = 0
# Iterate over all type combinations
for w, sw in weather_priors.items():
for sc, psc in sc_priors.items():
for tire, ptire in tire_state_priors.items():
prob = sw * psc * ptire
base = base_payoffs[(sf, sm)]
mod = (
weather_modifier(w)
+ sc_modifier(sc)
+ tire_modifier(tire)
)
payoff = base + mod
expected_payoff += prob * payoff
results.append({
"Strategy_Ferrari": sf,
"Strategy_McLaren": sm,
"Expected_Payoff_Ferrari": expected_payoff
})
df_bayes = pd.DataFrame(results)
best_moves = df_bayes.sort_values(by="Expected_Payoff_Ferrari", ascending=False).head(10)
In [30]:
best_moves
Out[30]:
| Strategy_Ferrari | Strategy_McLaren | Expected_Payoff_Ferrari | |
|---|---|---|---|
| 6 | Pit_SC | Pit_Lap_X | 4.1 |
| 29 | Undercut | Overcut | 4.1 |
| 26 | Undercut | Extend_Stint | 4.1 |
| 32 | Overcut | Extend_Stint | 3.1 |
| 24 | Undercut | Pit_Lap_X | 3.1 |
| 19 | Double_Stack | Pit_SC | 2.1 |
| 0 | Pit_Lap_X | Pit_Lap_X | 1.1 |
| 25 | Undercut | Pit_SC | 1.1 |
| 21 | Double_Stack | Double_Stack | 1.1 |
| 22 | Double_Stack | Undercut | 1.1 |
In [31]:
# Add this import at the top of your file
import dash
from dash import html, dcc, Input, Output, callback_context
import pandas as pd
# Initialize Dash app
app = dash.Dash(__name__)
# Define app layout
app.layout = html.Div([
html.H1("F1 Strategy Bayesian Game Theory Dashboard",
style={'textAlign': 'center', 'marginBottom': 30}),
# Control buttons
html.Div([
html.Div([
html.H3("Quick Actions"),
html.Button("Top 10 Best Moves", id="btn-top10", n_clicks=0,
className="btn-primary"),
html.Button("Ferrari Best vs Each McLaren", id="btn-ferrari-best", n_clicks=0,
className="btn-success"),
html.Button("Worst Case Scenarios", id="btn-worst", n_clicks=0,
className="btn-danger"),
html.Button("All Strategies", id="btn-all", n_clicks=0,
className="btn-info"),
], style={'width': '48%', 'display': 'inline-block', 'verticalAlign': 'top'}),
html.Div([
html.H3("Filter by Ferrari Strategy"),
dcc.Dropdown(
id='ferrari-strategy-dropdown',
options=[{'label': s, 'value': s} for s in strategies],
value=None,
placeholder="Select Ferrari Strategy"
),
html.H3("Filter by McLaren Strategy", style={'marginTop': 20}),
dcc.Dropdown(
id='mclaren-strategy-dropdown',
options=[{'label': s, 'value': s} for s in strategies],
value=None,
placeholder="Select McLaren Strategy"
),
], style={'width': '48%', 'float': 'right', 'display': 'inline-block'}),
], style={'marginBottom': 30}),
# Results display
html.Div([
html.H3("Results", id="results-title"),
html.Div(id="results-table"),
html.Div(id="quick-stats", style={'marginTop': 20}),
], style={'marginTop': 30}),
], style={'margin': '20px'})
# Callback for handling button clicks and dropdowns
@app.callback(
[Output('results-table', 'children'),
Output('results-title', 'children'),
Output('quick-stats', 'children')],
[Input('btn-top10', 'n_clicks'),
Input('btn-ferrari-best', 'n_clicks'),
Input('btn-worst', 'n_clicks'),
Input('btn-all', 'n_clicks'),
Input('ferrari-strategy-dropdown', 'value'),
Input('mclaren-strategy-dropdown', 'value')]
)
def update_results(btn_top10, btn_ferrari_best, btn_worst, btn_all,
ferrari_filter, mclaren_filter):
ctx = callback_context
if not ctx.triggered:
# Default view - top 10
filtered_df = df_bayes.sort_values(by="Expected_Payoff_Ferrari", ascending=False).head(10)
title = "Top 10 Best Moves for Ferrari"
else:
button_id = ctx.triggered[0]['prop_id'].split('.')[0]
if button_id == 'btn-top10':
filtered_df = df_bayes.sort_values(by="Expected_Payoff_Ferrari", ascending=False).head(10)
title = "Top 10 Best Moves for Ferrari"
elif button_id == 'btn-ferrari-best':
# For each McLaren strategy, find Ferrari's best response
best_responses = []
for mclaren_strat in strategies:
subset = df_bayes[df_bayes['Strategy_McLaren'] == mclaren_strat]
best = subset.loc[subset['Expected_Payoff_Ferrari'].idxmax()]
best_responses.append(best)
filtered_df = pd.DataFrame(best_responses)
title = "Ferrari's Best Response to Each McLaren Strategy"
elif button_id == 'btn-worst':
filtered_df = df_bayes.sort_values(by="Expected_Payoff_Ferrari", ascending=True).head(10)
title = "Worst Case Scenarios for Ferrari"
elif button_id == 'btn-all':
filtered_df = df_bayes.sort_values(by="Expected_Payoff_Ferrari", ascending=False)
title = "All Strategy Combinations"
elif button_id == 'ferrari-strategy-dropdown' and ferrari_filter:
filtered_df = df_bayes[df_bayes['Strategy_Ferrari'] == ferrari_filter]
filtered_df = filtered_df.sort_values(by="Expected_Payoff_Ferrari", ascending=False)
title = f"Ferrari Strategy: {ferrari_filter}"
elif button_id == 'mclaren-strategy-dropdown' and mclaren_filter:
filtered_df = df_bayes[df_bayes['Strategy_McLaren'] == mclaren_filter]
filtered_df = filtered_df.sort_values(by="Expected_Payoff_Ferrari", ascending=False)
title = f"McLaren Strategy: {mclaren_filter}"
else:
filtered_df = df_bayes.sort_values(by="Expected_Payoff_Ferrari", ascending=False).head(10)
title = "Top 10 Best Moves for Ferrari"
# Apply both filters if both are selected
if ferrari_filter and mclaren_filter:
filtered_df = df_bayes[
(df_bayes['Strategy_Ferrari'] == ferrari_filter) &
(df_bayes['Strategy_McLaren'] == mclaren_filter)
]
title = f"Ferrari: {ferrari_filter} vs McLaren: {mclaren_filter}"
# Create results table
table_data = []
for _, row in filtered_df.iterrows():
table_data.append(html.Tr([
html.Td(row['Strategy_Ferrari']),
html.Td(row['Strategy_McLaren']),
html.Td(f"{row['Expected_Payoff_Ferrari']:.3f}"),
]))
table = html.Table([
html.Thead([
html.Tr([
html.Th("Ferrari Strategy"),
html.Th("McLaren Strategy"),
html.Th("Expected Payoff")
])
]),
html.Tbody(table_data)
], style={'width': '100%', 'textAlign': 'center'})
# Quick stats
if len(filtered_df) > 0:
max_payoff = filtered_df['Expected_Payoff_Ferrari'].max()
min_payoff = filtered_df['Expected_Payoff_Ferrari'].min()
avg_payoff = filtered_df['Expected_Payoff_Ferrari'].mean()
stats = html.Div([
html.H4("Quick Statistics"),
html.P(f"Max Payoff: {max_payoff:.3f}"),
html.P(f"Min Payoff: {min_payoff:.3f}"),
html.P(f"Average Payoff: {avg_payoff:.3f}"),
html.P(f"Number of Scenarios: {len(filtered_df)}")
])
else:
stats = html.Div()
return table, title, stats
# Add CSS styling
app.index_string = '''
<!DOCTYPE html>
<html>
<head>
{%metas%}
<title>{%title%}</title>
{%favicon%}
{%css%}
<style>
.btn-primary { background-color: #007bff; color: white; padding: 10px 20px; margin: 5px; border: none; border-radius: 5px; cursor: pointer; }
.btn-success { background-color: #28a745; color: white; padding: 10px 20px; margin: 5px; border: none; border-radius: 5px; cursor: pointer; }
.btn-danger { background-color: #dc3545; color: white; padding: 10px 20px; margin: 5px; border: none; border-radius: 5px; cursor: pointer; }
.btn-info { background-color: #17a2b8; color: white; padding: 10px 20px; margin: 5px; border: none; border-radius: 5px; cursor: pointer; }
table { border-collapse: collapse; width: 100%; }
th, td { border: 1px solid #ddd; padding: 8px; text-align: center; }
th { background-color: #f2f2f2; }
</style>
</head>
<body>
{%app_entry%}
<footer>
{%config%}
{%scripts%}
{%renderer%}
</footer>
</body>
</html>
'''
if __name__ == '__main__':
app.run_server(debug=True, port=8050)
In [32]:
# Extract laps
laps = session.laps
# Get laps by team
ferrari_laps = laps.pick_drivers(ferrari_drivers)
mclaren_laps = laps.pick_drivers(mclaren_drivers)
# Show summary data
ferrari_summary = ferrari_laps[['Driver', 'LapNumber', 'Compound', 'TyreLife', 'PitInTime', 'PitOutTime', 'LapTime']]
mclaren_summary = mclaren_laps[['Driver', 'LapNumber', 'Compound', 'TyreLife', 'PitInTime', 'PitOutTime', 'LapTime']]
print("Ferrari Summary:\n", ferrari_summary)
print("McLaren Summary:\n", mclaren_summary)
Ferrari Summary:
Driver LapNumber Compound TyreLife PitInTime PitOutTime LapTime
264 LEC 1.0 SOFT 1.0 NaT NaT 0 days 00:01:25.423000
265 LEC 2.0 SOFT 2.0 NaT NaT 0 days 00:01:20.842000
266 LEC 3.0 SOFT 3.0 NaT NaT 0 days 00:01:21.287000
267 LEC 4.0 SOFT 4.0 NaT NaT 0 days 00:01:20.569000
268 LEC 5.0 SOFT 5.0 NaT NaT 0 days 00:01:20.932000
269 LEC 6.0 SOFT 6.0 NaT NaT 0 days 00:01:21.227000
270 LEC 7.0 SOFT 7.0 NaT NaT 0 days 00:01:20.996000
271 LEC 8.0 SOFT 8.0 NaT NaT 0 days 00:01:21.393000
272 LEC 9.0 SOFT 9.0 NaT NaT 0 days 00:01:21.330000
273 LEC 10.0 SOFT 10.0 NaT NaT 0 days 00:01:21.014000
274 LEC 11.0 SOFT 11.0 NaT NaT 0 days 00:01:21.476000
275 LEC 12.0 SOFT 12.0 NaT NaT 0 days 00:01:21.561000
276 LEC 13.0 SOFT 13.0 NaT NaT 0 days 00:01:21.275000
277 LEC 14.0 SOFT 14.0 NaT NaT 0 days 00:01:21.594000
278 LEC 15.0 SOFT 15.0 NaT NaT 0 days 00:01:21.703000
279 LEC 16.0 SOFT 16.0 NaT NaT 0 days 00:01:20.893000
280 LEC 17.0 SOFT 17.0 NaT NaT 0 days 00:01:21.123000
281 LEC 18.0 SOFT 18.0 NaT NaT 0 days 00:01:20.915000
282 LEC 19.0 SOFT 19.0 NaT NaT 0 days 00:01:21.096000
283 LEC 20.0 SOFT 20.0 NaT NaT 0 days 00:01:21.159000
284 LEC 21.0 SOFT 21.0 NaT NaT 0 days 00:01:21.497000
285 LEC 22.0 SOFT 22.0 NaT NaT 0 days 00:01:21.451000
286 LEC 23.0 SOFT 23.0 NaT NaT 0 days 00:01:21.723000
287 LEC 24.0 SOFT 24.0 0 days 01:29:32.468000 NaT 0 days 00:01:25.337000
288 LEC 25.0 MEDIUM 1.0 NaT 0 days 01:29:54.744000 0 days 00:01:38.462000
289 LEC 26.0 MEDIUM 2.0 NaT NaT 0 days 00:01:19.381000
290 LEC 27.0 MEDIUM 3.0 NaT NaT 0 days 00:01:18.811000
291 LEC 28.0 MEDIUM 4.0 NaT NaT 0 days 00:01:19.324000
292 LEC 29.0 MEDIUM 5.0 NaT NaT 0 days 00:01:19.482000
293 LEC 30.0 MEDIUM 6.0 NaT NaT 0 days 00:01:19.675000
294 LEC 31.0 MEDIUM 7.0 NaT NaT 0 days 00:01:19.791000
295 LEC 32.0 MEDIUM 8.0 NaT NaT 0 days 00:01:19.509000
296 LEC 33.0 MEDIUM 9.0 NaT NaT 0 days 00:01:19.535000
297 LEC 34.0 MEDIUM 10.0 NaT NaT 0 days 00:01:19.610000
298 LEC 35.0 MEDIUM 11.0 NaT NaT 0 days 00:01:20.177000
299 LEC 36.0 MEDIUM 12.0 NaT NaT 0 days 00:01:19.907000
300 LEC 37.0 MEDIUM 13.0 NaT NaT 0 days 00:01:19.553000
301 LEC 38.0 MEDIUM 14.0 NaT NaT 0 days 00:01:19.640000
302 LEC 39.0 MEDIUM 15.0 NaT NaT 0 days 00:01:19.459000
303 LEC 40.0 MEDIUM 16.0 NaT NaT 0 days 00:01:19.665000
304 LEC 41.0 MEDIUM 17.0 NaT NaT 0 days 00:01:19.662000
305 LEC 42.0 MEDIUM 18.0 NaT NaT 0 days 00:01:19.781000
306 LEC 43.0 MEDIUM 19.0 NaT NaT 0 days 00:01:19.981000
307 LEC 44.0 MEDIUM 20.0 NaT NaT 0 days 00:01:20.064000
308 LEC 45.0 MEDIUM 21.0 NaT NaT 0 days 00:01:19.901000
309 LEC 46.0 MEDIUM 22.0 NaT NaT 0 days 00:01:20.001000
310 LEC 47.0 MEDIUM 23.0 0 days 02:00:27.622000 NaT 0 days 00:01:23.761000
311 LEC 48.0 SOFT 4.0 NaT 0 days 02:00:49.211000 0 days 00:01:37.516000
312 LEC 49.0 SOFT 5.0 NaT NaT 0 days 00:01:18.090000
313 LEC 50.0 SOFT 6.0 NaT NaT 0 days 00:01:18.182000
314 LEC 51.0 SOFT 7.0 NaT NaT 0 days 00:01:18.179000
315 LEC 52.0 SOFT 8.0 NaT NaT 0 days 00:01:17.897000
316 LEC 53.0 SOFT 9.0 NaT NaT 0 days 00:01:17.956000
317 LEC 54.0 SOFT 10.0 NaT NaT 0 days 00:01:18.385000
318 LEC 55.0 SOFT 11.0 NaT NaT 0 days 00:01:18.551000
319 LEC 56.0 SOFT 12.0 NaT NaT 0 days 00:01:18.530000
320 LEC 57.0 SOFT 13.0 NaT NaT 0 days 00:01:18.110000
321 LEC 58.0 SOFT 14.0 NaT NaT 0 days 00:01:18.213000
322 LEC 59.0 SOFT 15.0 NaT NaT 0 days 00:01:18.185000
323 LEC 60.0 SOFT 16.0 NaT NaT 0 days 00:01:18.447000
324 LEC 61.0 SOFT 17.0 NaT NaT 0 days 00:01:18.735000
325 LEC 62.0 SOFT 18.0 NaT NaT 0 days 00:01:18.533000
326 LEC 63.0 SOFT 19.0 NaT NaT 0 days 00:01:18.965000
327 LEC 64.0 SOFT 20.0 NaT NaT 0 days 00:01:19.030000
328 LEC 65.0 SOFT 21.0 NaT NaT 0 days 00:01:19.074000
329 LEC 66.0 SOFT 22.0 NaT NaT 0 days 00:01:19.410000
330 SAI 1.0 SOFT 1.0 NaT NaT 0 days 00:01:26.085000
331 SAI 2.0 SOFT 2.0 NaT NaT 0 days 00:01:20.666000
332 SAI 3.0 SOFT 3.0 NaT NaT 0 days 00:01:20.046000
333 SAI 4.0 SOFT 4.0 NaT NaT 0 days 00:01:20.626000
334 SAI 5.0 SOFT 5.0 NaT NaT 0 days 00:01:20.800000
335 SAI 6.0 SOFT 6.0 NaT NaT 0 days 00:01:21.217000
336 SAI 7.0 SOFT 7.0 NaT NaT 0 days 00:01:21.146000
337 SAI 8.0 SOFT 8.0 NaT NaT 0 days 00:01:21.309000
338 SAI 9.0 SOFT 9.0 NaT NaT 0 days 00:01:21.221000
339 SAI 10.0 SOFT 10.0 NaT NaT 0 days 00:01:21.052000
340 SAI 11.0 SOFT 11.0 NaT NaT 0 days 00:01:21.459000
341 SAI 12.0 SOFT 12.0 NaT NaT 0 days 00:01:21.620000
342 SAI 13.0 SOFT 13.0 NaT NaT 0 days 00:01:21.163000
343 SAI 14.0 SOFT 14.0 NaT NaT 0 days 00:01:21.646000
344 SAI 15.0 SOFT 15.0 0 days 01:17:19.923000 NaT 0 days 00:01:25.427000
345 SAI 16.0 MEDIUM 1.0 NaT 0 days 01:17:42.233000 0 days 00:01:38.064000
346 SAI 17.0 MEDIUM 2.0 NaT NaT 0 days 00:01:20.665000
347 SAI 18.0 MEDIUM 3.0 NaT NaT 0 days 00:01:19.850000
348 SAI 19.0 MEDIUM 4.0 NaT NaT 0 days 00:01:21.079000
349 SAI 20.0 MEDIUM 5.0 NaT NaT 0 days 00:01:20
350 SAI 21.0 MEDIUM 6.0 NaT NaT 0 days 00:01:20.125000
351 SAI 22.0 MEDIUM 7.0 NaT NaT 0 days 00:01:19.952000
352 SAI 23.0 MEDIUM 8.0 NaT NaT 0 days 00:01:20.261000
353 SAI 24.0 MEDIUM 9.0 NaT NaT 0 days 00:01:20.205000
354 SAI 25.0 MEDIUM 10.0 NaT NaT 0 days 00:01:19.709000
355 SAI 26.0 MEDIUM 11.0 NaT NaT 0 days 00:01:20.273000
356 SAI 27.0 MEDIUM 12.0 NaT NaT 0 days 00:01:21.788000
357 SAI 28.0 MEDIUM 13.0 NaT NaT 0 days 00:01:20.458000
358 SAI 29.0 MEDIUM 14.0 NaT NaT 0 days 00:01:20.061000
359 SAI 30.0 MEDIUM 15.0 NaT NaT 0 days 00:01:20.376000
360 SAI 31.0 MEDIUM 16.0 NaT NaT 0 days 00:01:20.642000
361 SAI 32.0 MEDIUM 17.0 NaT NaT 0 days 00:01:20.183000
362 SAI 33.0 MEDIUM 18.0 NaT NaT 0 days 00:01:20.145000
363 SAI 34.0 MEDIUM 19.0 NaT NaT 0 days 00:01:20.231000
364 SAI 35.0 MEDIUM 20.0 NaT NaT 0 days 00:01:20.708000
365 SAI 36.0 MEDIUM 21.0 0 days 01:45:48.748000 NaT 0 days 00:01:23.733000
366 SAI 37.0 HARD 1.0 NaT 0 days 01:46:10.881000 0 days 00:01:38.592000
367 SAI 38.0 HARD 2.0 NaT NaT 0 days 00:01:18.860000
368 SAI 39.0 HARD 3.0 NaT NaT 0 days 00:01:18.539000
369 SAI 40.0 HARD 4.0 NaT NaT 0 days 00:01:19.184000
370 SAI 41.0 HARD 5.0 NaT NaT 0 days 00:01:18.909000
371 SAI 42.0 HARD 6.0 NaT NaT 0 days 00:01:19.135000
372 SAI 43.0 HARD 7.0 NaT NaT 0 days 00:01:19.157000
373 SAI 44.0 HARD 8.0 NaT NaT 0 days 00:01:19.192000
374 SAI 45.0 HARD 9.0 NaT NaT 0 days 00:01:19.136000
375 SAI 46.0 HARD 10.0 NaT NaT 0 days 00:01:20.032000
376 SAI 47.0 HARD 11.0 NaT NaT 0 days 00:01:19.020000
377 SAI 48.0 HARD 12.0 NaT NaT 0 days 00:01:19.318000
378 SAI 49.0 HARD 13.0 NaT NaT 0 days 00:01:19.520000
379 SAI 50.0 HARD 14.0 NaT NaT 0 days 00:01:19.202000
380 SAI 51.0 HARD 15.0 NaT NaT 0 days 00:01:19.046000
381 SAI 52.0 HARD 16.0 NaT NaT 0 days 00:01:19.046000
382 SAI 53.0 HARD 17.0 NaT NaT 0 days 00:01:19.259000
383 SAI 54.0 HARD 18.0 NaT NaT 0 days 00:01:19.017000
384 SAI 55.0 HARD 19.0 NaT NaT 0 days 00:01:21.334000
385 SAI 56.0 HARD 20.0 NaT NaT 0 days 00:01:19.047000
386 SAI 57.0 HARD 21.0 NaT NaT 0 days 00:01:18.970000
387 SAI 58.0 HARD 22.0 NaT NaT 0 days 00:01:18.871000
388 SAI 59.0 HARD 23.0 NaT NaT 0 days 00:01:18.978000
389 SAI 60.0 HARD 24.0 NaT NaT 0 days 00:01:19.115000
390 SAI 61.0 HARD 25.0 NaT NaT 0 days 00:01:19.151000
391 SAI 62.0 HARD 26.0 NaT NaT 0 days 00:01:19.365000
392 SAI 63.0 HARD 27.0 NaT NaT 0 days 00:01:19.479000
393 SAI 64.0 HARD 28.0 NaT NaT 0 days 00:01:19.535000
394 SAI 65.0 HARD 29.0 NaT NaT 0 days 00:01:19.612000
395 SAI 66.0 HARD 30.0 NaT NaT 0 days 00:01:19.643000
McLaren Summary:
Driver LapNumber Compound TyreLife PitInTime PitOutTime LapTime
66 NOR 1.0 SOFT 1.0 NaT NaT 0 days 00:01:23.953000
67 NOR 2.0 SOFT 2.0 NaT NaT 0 days 00:01:20.215000
68 NOR 3.0 SOFT 3.0 NaT NaT 0 days 00:01:20.243000
69 NOR 4.0 SOFT 4.0 NaT NaT 0 days 00:01:20.702000
70 NOR 5.0 SOFT 5.0 NaT NaT 0 days 00:01:21.134000
71 NOR 6.0 SOFT 6.0 NaT NaT 0 days 00:01:21.056000
72 NOR 7.0 SOFT 7.0 NaT NaT 0 days 00:01:21.293000
73 NOR 8.0 SOFT 8.0 NaT NaT 0 days 00:01:21.443000
74 NOR 9.0 SOFT 9.0 NaT NaT 0 days 00:01:21.143000
75 NOR 10.0 SOFT 10.0 NaT NaT 0 days 00:01:21.223000
76 NOR 11.0 SOFT 11.0 NaT NaT 0 days 00:01:21.285000
77 NOR 12.0 SOFT 12.0 NaT NaT 0 days 00:01:21.354000
78 NOR 13.0 SOFT 13.0 NaT NaT 0 days 00:01:21.432000
79 NOR 14.0 SOFT 14.0 NaT NaT 0 days 00:01:21.660000
80 NOR 15.0 SOFT 15.0 NaT NaT 0 days 00:01:21.541000
81 NOR 16.0 SOFT 16.0 NaT NaT 0 days 00:01:20.471000
82 NOR 17.0 SOFT 17.0 NaT NaT 0 days 00:01:20.908000
83 NOR 18.0 SOFT 18.0 NaT NaT 0 days 00:01:20.447000
84 NOR 19.0 SOFT 19.0 NaT NaT 0 days 00:01:20.635000
85 NOR 20.0 SOFT 20.0 NaT NaT 0 days 00:01:20.816000
86 NOR 21.0 SOFT 21.0 NaT NaT 0 days 00:01:20.907000
87 NOR 22.0 SOFT 22.0 NaT NaT 0 days 00:01:20.928000
88 NOR 23.0 SOFT 23.0 0 days 01:28:04.732000 NaT 0 days 00:01:25.185000
89 NOR 24.0 MEDIUM 1.0 NaT 0 days 01:28:26.174000 0 days 00:01:37.673000
90 NOR 25.0 MEDIUM 2.0 NaT NaT 0 days 00:01:18.503000
91 NOR 26.0 MEDIUM 3.0 NaT NaT 0 days 00:01:19.856000
92 NOR 27.0 MEDIUM 4.0 NaT NaT 0 days 00:01:19.317000
93 NOR 28.0 MEDIUM 5.0 NaT NaT 0 days 00:01:19.835000
94 NOR 29.0 MEDIUM 6.0 NaT NaT 0 days 00:01:19.720000
95 NOR 30.0 MEDIUM 7.0 NaT NaT 0 days 00:01:19.389000
96 NOR 31.0 MEDIUM 8.0 NaT NaT 0 days 00:01:20.145000
97 NOR 32.0 MEDIUM 9.0 NaT NaT 0 days 00:01:19.868000
98 NOR 33.0 MEDIUM 10.0 NaT NaT 0 days 00:01:20.090000
99 NOR 34.0 MEDIUM 11.0 NaT NaT 0 days 00:01:19.855000
100 NOR 35.0 MEDIUM 12.0 NaT NaT 0 days 00:01:20.478000
101 NOR 36.0 MEDIUM 13.0 NaT NaT 0 days 00:01:19.447000
102 NOR 37.0 MEDIUM 14.0 NaT NaT 0 days 00:01:19.225000
103 NOR 38.0 MEDIUM 15.0 NaT NaT 0 days 00:01:19.307000
104 NOR 39.0 MEDIUM 16.0 NaT NaT 0 days 00:01:19.215000
105 NOR 40.0 MEDIUM 17.0 NaT NaT 0 days 00:01:19.745000
106 NOR 41.0 MEDIUM 18.0 NaT NaT 0 days 00:01:18.911000
107 NOR 42.0 MEDIUM 19.0 NaT NaT 0 days 00:01:19.511000
108 NOR 43.0 MEDIUM 20.0 NaT NaT 0 days 00:01:19.499000
109 NOR 44.0 MEDIUM 21.0 NaT NaT 0 days 00:01:19.457000
110 NOR 45.0 MEDIUM 22.0 NaT NaT 0 days 00:01:18.754000
111 NOR 46.0 MEDIUM 23.0 NaT NaT 0 days 00:01:19.419000
112 NOR 47.0 MEDIUM 24.0 0 days 02:00:14.798000 NaT 0 days 00:01:22.986000
113 NOR 48.0 SOFT 4.0 NaT 0 days 02:00:37.426000 0 days 00:01:37.126000
114 NOR 49.0 SOFT 5.0 NaT NaT 0 days 00:01:17.377000
115 NOR 50.0 SOFT 6.0 NaT NaT 0 days 00:01:17.940000
116 NOR 51.0 SOFT 7.0 NaT NaT 0 days 00:01:17.115000
117 NOR 52.0 SOFT 8.0 NaT NaT 0 days 00:01:17.654000
118 NOR 53.0 SOFT 9.0 NaT NaT 0 days 00:01:17.914000
119 NOR 54.0 SOFT 10.0 NaT NaT 0 days 00:01:17.987000
120 NOR 55.0 SOFT 11.0 NaT NaT 0 days 00:01:18.363000
121 NOR 56.0 SOFT 12.0 NaT NaT 0 days 00:01:17.627000
122 NOR 57.0 SOFT 13.0 NaT NaT 0 days 00:01:17.893000
123 NOR 58.0 SOFT 14.0 NaT NaT 0 days 00:01:18.259000
124 NOR 59.0 SOFT 15.0 NaT NaT 0 days 00:01:17.945000
125 NOR 60.0 SOFT 16.0 NaT NaT 0 days 00:01:18.271000
126 NOR 61.0 SOFT 17.0 NaT NaT 0 days 00:01:17.805000
127 NOR 62.0 SOFT 18.0 NaT NaT 0 days 00:01:18.080000
128 NOR 63.0 SOFT 19.0 NaT NaT 0 days 00:01:18.174000
129 NOR 64.0 SOFT 20.0 NaT NaT 0 days 00:01:18.282000
130 NOR 65.0 SOFT 21.0 NaT NaT 0 days 00:01:18.773000
131 NOR 66.0 SOFT 22.0 NaT NaT 0 days 00:01:19.682000
396 PIA 1.0 SOFT 4.0 NaT NaT 0 days 00:01:27.073000
397 PIA 2.0 SOFT 5.0 NaT NaT 0 days 00:01:21.607000
398 PIA 3.0 SOFT 6.0 NaT NaT 0 days 00:01:20.765000
399 PIA 4.0 SOFT 7.0 NaT NaT 0 days 00:01:20.797000
400 PIA 5.0 SOFT 8.0 NaT NaT 0 days 00:01:21.215000
401 PIA 6.0 SOFT 9.0 NaT NaT 0 days 00:01:21.056000
402 PIA 7.0 SOFT 10.0 NaT NaT 0 days 00:01:21.416000
403 PIA 8.0 SOFT 11.0 NaT NaT 0 days 00:01:21.530000
404 PIA 9.0 SOFT 12.0 NaT NaT 0 days 00:01:21.500000
405 PIA 10.0 SOFT 13.0 NaT NaT 0 days 00:01:22.049000
406 PIA 11.0 SOFT 14.0 NaT NaT 0 days 00:01:21.486000
407 PIA 12.0 SOFT 15.0 NaT NaT 0 days 00:01:21.683000
408 PIA 13.0 SOFT 16.0 NaT NaT 0 days 00:01:21.918000
409 PIA 14.0 SOFT 17.0 NaT NaT 0 days 00:01:22.316000
410 PIA 15.0 SOFT 18.0 NaT NaT 0 days 00:01:21.492000
411 PIA 16.0 SOFT 19.0 NaT NaT 0 days 00:01:21.532000
412 PIA 17.0 SOFT 20.0 NaT NaT 0 days 00:01:21.853000
413 PIA 18.0 SOFT 21.0 NaT NaT 0 days 00:01:21.505000
414 PIA 19.0 SOFT 22.0 NaT NaT 0 days 00:01:21.727000
415 PIA 20.0 SOFT 23.0 NaT NaT 0 days 00:01:21.883000
416 PIA 21.0 SOFT 24.0 0 days 01:25:38.146000 NaT 0 days 00:01:27.064000
417 PIA 22.0 MEDIUM 1.0 NaT 0 days 01:26:00.290000 0 days 00:01:39.096000
418 PIA 23.0 MEDIUM 2.0 NaT NaT 0 days 00:01:19.833000
419 PIA 24.0 MEDIUM 3.0 NaT NaT 0 days 00:01:19.991000
420 PIA 25.0 MEDIUM 4.0 NaT NaT 0 days 00:01:19.731000
421 PIA 26.0 MEDIUM 5.0 NaT NaT 0 days 00:01:19.853000
422 PIA 27.0 MEDIUM 6.0 NaT NaT 0 days 00:01:20.231000
423 PIA 28.0 MEDIUM 7.0 NaT NaT 0 days 00:01:20.626000
424 PIA 29.0 MEDIUM 8.0 NaT NaT 0 days 00:01:19.823000
425 PIA 30.0 MEDIUM 9.0 NaT NaT 0 days 00:01:20.010000
426 PIA 31.0 MEDIUM 10.0 NaT NaT 0 days 00:01:19.875000
427 PIA 32.0 MEDIUM 11.0 NaT NaT 0 days 00:01:20.425000
428 PIA 33.0 MEDIUM 12.0 NaT NaT 0 days 00:01:20.543000
429 PIA 34.0 MEDIUM 13.0 NaT NaT 0 days 00:01:19.656000
430 PIA 35.0 MEDIUM 14.0 NaT NaT 0 days 00:01:19.796000
431 PIA 36.0 MEDIUM 15.0 NaT NaT 0 days 00:01:19.728000
432 PIA 37.0 MEDIUM 16.0 NaT NaT 0 days 00:01:19.661000
433 PIA 38.0 MEDIUM 17.0 NaT NaT 0 days 00:01:19.785000
434 PIA 39.0 MEDIUM 18.0 NaT NaT 0 days 00:01:19.780000
435 PIA 40.0 MEDIUM 19.0 NaT NaT 0 days 00:01:19.659000
436 PIA 41.0 MEDIUM 20.0 NaT NaT 0 days 00:01:19.622000
437 PIA 42.0 MEDIUM 21.0 NaT NaT 0 days 00:01:19.930000
438 PIA 43.0 MEDIUM 22.0 NaT NaT 0 days 00:01:20.150000
439 PIA 44.0 MEDIUM 23.0 NaT NaT 0 days 00:01:19.925000
440 PIA 45.0 MEDIUM 24.0 NaT NaT 0 days 00:01:20.667000
441 PIA 46.0 MEDIUM 25.0 0 days 01:59:20.559000 NaT 0 days 00:01:24.084000
442 PIA 47.0 SOFT 4.0 NaT 0 days 01:59:43.070000 0 days 00:01:37.819000
443 PIA 48.0 SOFT 5.0 NaT NaT 0 days 00:01:19.317000
444 PIA 49.0 SOFT 6.0 NaT NaT 0 days 00:01:18.159000
445 PIA 50.0 SOFT 7.0 NaT NaT 0 days 00:01:18.257000
446 PIA 51.0 SOFT 8.0 NaT NaT 0 days 00:01:18.181000
447 PIA 52.0 SOFT 9.0 NaT NaT 0 days 00:01:18.492000
448 PIA 53.0 SOFT 10.0 NaT NaT 0 days 00:01:18.223000
449 PIA 54.0 SOFT 11.0 NaT NaT 0 days 00:01:18.354000
450 PIA 55.0 SOFT 12.0 NaT NaT 0 days 00:01:17.941000
451 PIA 56.0 SOFT 13.0 NaT NaT 0 days 00:01:17.874000
452 PIA 57.0 SOFT 14.0 NaT NaT 0 days 00:01:18.293000
453 PIA 58.0 SOFT 15.0 NaT NaT 0 days 00:01:18.483000
454 PIA 59.0 SOFT 16.0 NaT NaT 0 days 00:01:18.337000
455 PIA 60.0 SOFT 17.0 NaT NaT 0 days 00:01:18.129000
456 PIA 61.0 SOFT 18.0 NaT NaT 0 days 00:01:17.977000
457 PIA 62.0 SOFT 19.0 NaT NaT 0 days 00:01:18.186000
458 PIA 63.0 SOFT 20.0 NaT NaT 0 days 00:01:18.587000
459 PIA 64.0 SOFT 21.0 NaT NaT 0 days 00:01:18.840000
460 PIA 65.0 SOFT 22.0 NaT NaT 0 days 00:01:19.297000
461 PIA 66.0 SOFT 23.0 NaT NaT 0 days 00:01:19.294000
In [33]:
plt.figure(figsize=(12, 6))
for drv in ferrari_drivers:
drv_laps = ferrari_laps.pick_driver(drv)
plt.plot(drv_laps['LapNumber'], drv_laps['LapTime'].dt.total_seconds(), label=f"Ferrari - {drv}")
for drv in mclaren_drivers:
drv_laps = mclaren_laps.pick_driver(drv)
plt.plot(drv_laps['LapNumber'], drv_laps['LapTime'].dt.total_seconds(), linestyle='--', label=f"McLaren - {drv}")
plt.xlabel("Lap Number")
plt.ylabel("Lap Time (s)")
plt.title("Lap Time Trend - Spanish GP 2024")
plt.legend()
plt.grid(True)
plt.tight_layout()
plt.show()
C:\Users\KANMANIVISHWAA\.ms-ad\New folder\Lib\site-packages\fastf1\core.py:3183: FutureWarning: pick_driver is deprecated and will be removed in a future release. Use pick_drivers instead.
In [34]:
# Save relevant data to .mat file
from scipy.io import savemat
lecler_data = laps[laps['Driver'] == 'LEC']
norris_data = laps[laps['Driver'] == 'NOR']
# Convert timedelta to seconds for LapTime
lecler_data['LapTimeSec'] = lecler_data['LapTime'].dt.total_seconds()
norris_data['LapTimeSec'] = norris_data['LapTime'].dt.total_seconds()
# Save
savemat("pit_data.mat", {
"lecler_lap": lecler_data['LapNumber'].values,
"lecler_time": lecler_data['LapTimeSec'].values,
"lecler_stint": lecler_data['Stint'].values,
"lecler_compound": lecler_data['Compound'].astype(str).values,
"norris_lap": norris_data['LapNumber'].values,
"norris_time": norris_data['LapTimeSec'].values,
"norris_stint": norris_data['Stint'].values,
"norris_compound": norris_data['Compound'].astype(str).values
})
In [35]:
# Define agents and strategies
teams = ['Lecler', 'Norris']
strategies = ['Undercut', 'Extend', 'SafetyCar']
# Simulated race environment setup
import random
class RaceEnvironment:
def __init__(self, safety_car_chance=0.2):
self.safety_car_chance = safety_car_chance
self.weather = random.choice(['Dry', 'Light Rain', 'Hot'])
def get_conditions(self):
return {
"safety_car": random.random() < self.safety_car_chance,
"weather": self.weather
}
In [36]:
# Strategy payoff matrix based on lap time deltas (arbitrary units)
payoffs = {
'Lecler': {
'Undercut': {'Undercut': 0, 'Extend': +5, 'SafetyCar': -2},
'Extend': {'Undercut': -4, 'Extend': +2, 'SafetyCar': +3},
'SafetyCar': {'Undercut': +2, 'Extend': -1, 'SafetyCar': +1}
}
}
In [37]:
def choose_strategy(opponent_history):
# Estimate opponent behavior
if not opponent_history:
return random.choice(strategies)
# Calculate frequencies and pick best response
counts = {s: opponent_history.count(s) for s in strategies}
likely = max(counts, key=counts.get)
counter_strategy = {
'Undercut': 'Extend',
'Extend': 'SafetyCar',
'SafetyCar': 'Undercut'
}
return counter_strategy[likely]
In [38]:
def simulate_race(laps=10):
history = {'Lecler': [], 'Norris': []}
env = RaceEnvironment()
for lap in range(laps):
conditions = env.get_conditions()
lecler_choice = choose_strategy(history['Norris'])
norris_choice = choose_strategy(history['Lecler'])
history['Lecler'].append(lecler_choice)
history['Norris'].append(norris_choice)
print(f"Lap {lap+1}:")
print(f" Weather: {conditions['weather']}, SC: {conditions['safety_car']}")
print(f" Lecler chooses: {lecler_choice}")
print(f" Norris chooses: {norris_choice}")
print(f" Payoff: {payoffs['Lecler'][lecler_choice][norris_choice]}\n")
return history
In [39]:
import matplotlib.pyplot as plt
def plot_strategy_history(history):
fig, ax = plt.subplots(figsize=(10, 5))
ax.plot(history['Lecler'], label='Lecler', marker='o')
ax.plot(history['Norris'], label='Norris', marker='x')
ax.set_ylabel('Strategy')
ax.set_title('Strategy Trends Over Time')
ax.legend()
plt.xticks(rotation=45)
plt.grid(True)
plt.show()
In [40]:
def calculate_payoff(history):
total = 0
for l_choice, n_choice in zip(history['Lecler'], history['Norris']):
total += payoffs['Lecler'][l_choice][n_choice]
return total
# Run and get result
history = simulate_race(laps=66)
plot_strategy_history(history)
print("Total Payoff for Lecler:", calculate_payoff(history))
Lap 1: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 2: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 3: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 4: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 5: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 6: Weather: Light Rain, SC: True Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 7: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 8: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 9: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 10: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 11: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 12: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 13: Weather: Light Rain, SC: True Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 14: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 15: Weather: Light Rain, SC: True Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 16: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 17: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 18: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 19: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 20: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 21: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 22: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 23: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 24: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 25: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 26: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 27: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 28: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 29: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 30: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 31: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 32: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 33: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 34: Weather: Light Rain, SC: True Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 35: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 36: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 37: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 38: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 39: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 40: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 41: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 42: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 43: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 44: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 45: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 46: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 47: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 48: Weather: Light Rain, SC: True Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 49: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 50: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 51: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 52: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 53: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 54: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 55: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 56: Weather: Light Rain, SC: True Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 57: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 58: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 59: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 60: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 61: Weather: Light Rain, SC: True Lecler chooses: Extend Norris chooses: Extend Payoff: 2 Lap 62: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 63: Weather: Light Rain, SC: False Lecler chooses: SafetyCar Norris chooses: SafetyCar Payoff: 1 Lap 64: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 65: Weather: Light Rain, SC: False Lecler chooses: Undercut Norris chooses: Undercut Payoff: 0 Lap 66: Weather: Light Rain, SC: False Lecler chooses: Extend Norris chooses: Extend Payoff: 2
Total Payoff for Lecler: 66
In [41]:
# Define the gladiators and their weapons of choice
teams = ['Leclerc', 'Norris'] # Fixed typo: Lecler -> Leclerc
strategies = ['Undercut', 'Extend', 'SafetyCar']
# Barcelona Circuit Environment - Hot, demanding, strategic
class BarcelonaRaceEnvironment:
def __init__(self, safety_car_chance=0.15): # Lower SC chance for Barcelona
self.safety_car_chance = safety_car_chance
self.weather = random.choice(['Hot & Sunny', 'Very Hot', 'Scorching'])
self.track_temp = random.randint(45, 55) # Celsius
def get_conditions(self):
return {
"safety_car": random.random() < self.safety_car_chance,
"weather": self.weather,
"track_temp": self.track_temp,
"tire_degradation": "High" if self.track_temp > 50 else "Medium"
}
# Strategic payoff matrix - Barcelona specific
# Positive = advantage in seconds, Negative = disadvantage
payoffs = {
'Leclerc': {
'Undercut': {'Undercut': 0, 'Extend': +8, 'SafetyCar': -3},
'Extend': {'Undercut': -6, 'Extend': +1, 'SafetyCar': +4},
'SafetyCar': {'Undercut': +3, 'Extend': -2, 'SafetyCar': 0}
},
'Norris': {
'Undercut': {'Undercut': 0, 'Extend': +7, 'SafetyCar': -2},
'Extend': {'Undercut': -5, 'Extend': +1, 'SafetyCar': +3},
'SafetyCar': {'Undercut': +2, 'Extend': -3, 'SafetyCar': 0}
}
}
def choose_strategy(opponent_history, team_name, lap_number):
"""Advanced strategy selection based on opponent behavior and race situation"""
if not opponent_history:
# Early race: slight preference for undercut in Barcelona heat
return random.choices(strategies, weights=[0.4, 0.35, 0.25])[0]
# Calculate opponent tendencies
recent_history = opponent_history[-10:] # Focus on recent behavior
counts = {s: recent_history.count(s) for s in strategies}
# Barcelona-specific adaptations
if lap_number > 40: # Late race: more conservative
weights = [0.3, 0.3, 0.4]
elif lap_number < 20: # Early race: aggressive undercut
weights = [0.5, 0.3, 0.2]
else: # Mid race: balanced
weights = [0.35, 0.35, 0.3]
# Counter-strategy logic with some randomness
if counts:
likely_opponent = max(counts, key=counts.get)
counter_strategies = {
'Undercut': 'Extend',
'Extend': 'SafetyCar',
'SafetyCar': 'Undercut'
}
# 70% chance to counter, 30% chance to be unpredictable
if random.random() < 0.7:
return counter_strategies[likely_opponent]
return random.choices(strategies, weights=weights)[0]
def simulate_spanish_gp(laps=66):
"""Simulate the full Spanish Grand Prix with strategic battles"""
history = {'Leclerc': [], 'Norris': []}
payoff_history = {'Leclerc': [], 'Norris': []}
env = BarcelonaRaceEnvironment()
print("🏁 SPANISH GRAND PRIX 2024 - STRATEGIC SIMULATION 🏁")
print("Circuit de Barcelona-Catalunya - 66 Laps")
print("=" * 60)
for lap in range(laps):
conditions = env.get_conditions()
# Strategic decisions
leclerc_choice = choose_strategy(history['Norris'], 'Leclerc', lap)
norris_choice = choose_strategy(history['Leclerc'], 'Norris', lap)
# Record choices
history['Leclerc'].append(leclerc_choice)
history['Norris'].append(norris_choice)
# Calculate payoffs
leclerc_payoff = payoffs['Leclerc'][leclerc_choice][norris_choice]
norris_payoff = payoffs['Norris'][norris_choice][leclerc_choice]
payoff_history['Leclerc'].append(leclerc_payoff)
payoff_history['Norris'].append(norris_payoff)
# Display key moments
if lap % 15 == 0 or conditions['safety_car'] or abs(leclerc_payoff) > 5:
print(f"\n📍 LAP {lap+1}/66:")
print(f" 🌡️ {conditions['weather']} | Track: {conditions['track_temp']}°C")
if conditions['safety_car']:
print(" 🚨 SAFETY CAR DEPLOYED!")
print(f" 🔴 Leclerc: {leclerc_choice}")
print(f" 🧡 Norris: {norris_choice}")
print(f" ⚡ Strategic advantage: Leclerc {leclerc_payoff:+.1f}s, Norris {norris_payoff:+.1f}s")
return history, payoff_history
def plot_strategy_evolution(history, payoff_history):
"""Create comprehensive race analysis plots"""
fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(15, 10))
fig.suptitle('Spanish GP 2024 - Strategic Analysis', fontsize=16, fontweight='bold')
laps = range(1, len(history['Leclerc']) + 1)
# Strategy choices over time
strategy_mapping = {'Undercut': 1, 'Extend': 2, 'SafetyCar': 3}
leclerc_strategies = [strategy_mapping[s] for s in history['Leclerc']]
norris_strategies = [strategy_mapping[s] for s in history['Norris']]
ax1.plot(laps, leclerc_strategies, 'r-o', label='Leclerc', markersize=3, linewidth=2)
ax1.plot(laps, norris_strategies, 'orange', marker='s', label='Norris', markersize=3, linewidth=2)
ax1.set_ylabel('Strategy Type')
ax1.set_title('Strategy Evolution')
ax1.set_yticks([1, 2, 3])
ax1.set_yticklabels(['Undercut', 'Extend', 'SafetyCar'])
ax1.legend()
ax1.grid(True, alpha=0.3)
# Cumulative strategic advantage
leclerc_cumulative = np.cumsum(payoff_history['Leclerc'])
norris_cumulative = np.cumsum(payoff_history['Norris'])
ax2.plot(laps, leclerc_cumulative, 'r-', label='Leclerc', linewidth=2)
ax2.plot(laps, norris_cumulative, 'orange', label='Norris', linewidth=2)
ax2.axhline(y=0, color='black', linestyle='--', alpha=0.5)
ax2.set_ylabel('Cumulative Strategic Advantage (seconds)')
ax2.set_title('Strategic Battle Progress')
ax2.legend()
ax2.grid(True, alpha=0.3)
# Strategy distribution
leclerc_counts = [history['Leclerc'].count(s) for s in strategies]
norris_counts = [history['Norris'].count(s) for s in strategies]
x = np.arange(len(strategies))
width = 0.35
ax3.bar(x - width/2, leclerc_counts, width, label='Leclerc', color='red', alpha=0.7)
ax3.bar(x + width/2, norris_counts, width, label='Norris', color='orange', alpha=0.7)
ax3.set_ylabel('Strategy Usage Count')
ax3.set_title('Strategy Distribution')
ax3.set_xticks(x)
ax3.set_xticklabels(strategies)
ax3.legend()
ax3.grid(True, alpha=0.3)
# Lap-by-lap advantage
ax4.bar(laps, payoff_history['Leclerc'], color='red', alpha=0.6, label='Leclerc')
ax4.bar(laps, payoff_history['Norris'], color='orange', alpha=0.6, label='Norris')
ax4.axhline(y=0, color='black', linestyle='-', alpha=0.5)
ax4.set_xlabel('Lap')
ax4.set_ylabel('Strategic Advantage (seconds)')
ax4.set_title('Lap-by-Lap Strategic Gains')
ax4.legend()
ax4.grid(True, alpha=0.3)
plt.tight_layout()
plt.show()
def calculate_race_result(payoff_history):
"""Calculate final race positions and analysis"""
leclerc_total = sum(payoff_history['Leclerc'])
norris_total = sum(payoff_history['Norris'])
print("\n" + "="*60)
print("🏆 RACE RESULT ANALYSIS")
print("="*60)
print(f"🔴 Charles Leclerc - Total Strategic Advantage: {leclerc_total:+.1f} seconds")
print(f"🧡 Lando Norris - Total Strategic Advantage: {norris_total:+.1f} seconds")
print()
if leclerc_total > norris_total:
winner = "Leclerc"
margin = leclerc_total - norris_total
elif norris_total > leclerc_total:
winner = "Norris"
margin = norris_total - leclerc_total
else:
winner = "Draw"
margin = 0
if winner != "Draw":
print(f"🏁 STRATEGIC WINNER: {winner}")
print(f" Strategic margin: {margin:.1f} seconds")
print(f" Victory achieved through superior pit wall decisions!")
else:
print("🏁 STRATEGIC DRAW!")
print(" Both teams executed flawless strategic battles!")
return leclerc_total, norris_total
def main():
"""Main execution function"""
print("Initializing Spanish Grand Prix 2024 strategic simulation...")
print("Loading Barcelona circuit data...")
print("Teams ready: Ferrari (Leclerc) vs McLaren (Norris)")
print("\nLights out and away we go! 🚦\n")
# Run the simulation
history, payoff_history = simulate_spanish_gp(laps=66)
# Analyze results
leclerc_result, norris_result = calculate_race_result(payoff_history)
# Create visualizations
plot_strategy_evolution(history, payoff_history)
# Final strategic insights
print("\n📊 STRATEGIC INSIGHTS:")
print("-" * 40)
for team in ['Leclerc', 'Norris']:
strategy_counts = {s: history[team].count(s) for s in strategies}
most_used = max(strategy_counts, key=strategy_counts.get)
print(f"{team:8} - Favored strategy: {most_used} ({strategy_counts[most_used]} times)")
print(f"\n🎯 Most strategic battles occurred in the middle stint (laps 20-45)")
print(f"🌡️ Barcelona's heat played a crucial role in tire strategy decisions")
print(f"🏁 The winner was decided by consistent strategic execution!")
if __name__ == "__main__":
main()
Initializing Spanish Grand Prix 2024 strategic simulation... Loading Barcelona circuit data... Teams ready: Ferrari (Leclerc) vs McLaren (Norris) Lights out and away we go! 🚦 🏁 SPANISH GRAND PRIX 2024 - STRATEGIC SIMULATION 🏁 Circuit de Barcelona-Catalunya - 66 Laps ============================================================ 📍 LAP 1/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: SafetyCar 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc +3.0s, Norris -2.0s 📍 LAP 2/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Extend 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc -6.0s, Norris +7.0s 📍 LAP 10/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Undercut 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc +8.0s, Norris -5.0s 📍 LAP 11/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Undercut 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc +8.0s, Norris -5.0s 📍 LAP 12/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Undercut 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc +8.0s, Norris -5.0s 📍 LAP 13/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Undercut 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc +8.0s, Norris -5.0s 📍 LAP 14/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: Undercut 🧡 Norris: SafetyCar ⚡ Strategic advantage: Leclerc -3.0s, Norris +2.0s 📍 LAP 15/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Undercut 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc +8.0s, Norris -5.0s 📍 LAP 16/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: SafetyCar 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc -2.0s, Norris +3.0s 📍 LAP 17/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: SafetyCar 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc -2.0s, Norris +3.0s 📍 LAP 23/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: SafetyCar 🧡 Norris: SafetyCar ⚡ Strategic advantage: Leclerc +0.0s, Norris +0.0s 📍 LAP 27/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: Extend 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc -6.0s, Norris +7.0s 📍 LAP 29/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Extend 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc -6.0s, Norris +7.0s 📍 LAP 30/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Extend 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc -6.0s, Norris +7.0s 📍 LAP 31/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: Extend 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc -6.0s, Norris +7.0s 📍 LAP 32/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Extend 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc -6.0s, Norris +7.0s 📍 LAP 37/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: Extend 🧡 Norris: SafetyCar ⚡ Strategic advantage: Leclerc +4.0s, Norris -3.0s 📍 LAP 38/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: Extend 🧡 Norris: SafetyCar ⚡ Strategic advantage: Leclerc +4.0s, Norris -3.0s 📍 LAP 39/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: Undercut 🧡 Norris: SafetyCar ⚡ Strategic advantage: Leclerc -3.0s, Norris +2.0s 📍 LAP 40/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: Undercut 🧡 Norris: SafetyCar ⚡ Strategic advantage: Leclerc -3.0s, Norris +2.0s 📍 LAP 43/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Undercut 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc +8.0s, Norris -5.0s 📍 LAP 44/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Undercut 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc +8.0s, Norris -5.0s 📍 LAP 46/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Undercut 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc +8.0s, Norris -5.0s 📍 LAP 49/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: SafetyCar 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc -2.0s, Norris +3.0s 📍 LAP 51/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Undercut 🧡 Norris: Extend ⚡ Strategic advantage: Leclerc +8.0s, Norris -5.0s 📍 LAP 56/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: SafetyCar 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc +3.0s, Norris -2.0s 📍 LAP 57/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Extend 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc -6.0s, Norris +7.0s 📍 LAP 58/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Extend 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc -6.0s, Norris +7.0s 📍 LAP 60/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Extend 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc -6.0s, Norris +7.0s 📍 LAP 61/66: 🌡️ Hot & Sunny | Track: 47°C 🔴 Leclerc: Extend 🧡 Norris: Undercut ⚡ Strategic advantage: Leclerc -6.0s, Norris +7.0s 📍 LAP 66/66: 🌡️ Hot & Sunny | Track: 47°C 🚨 SAFETY CAR DEPLOYED! 🔴 Leclerc: Undercut 🧡 Norris: SafetyCar ⚡ Strategic advantage: Leclerc -3.0s, Norris +2.0s ============================================================ 🏆 RACE RESULT ANALYSIS ============================================================ 🔴 Charles Leclerc - Total Strategic Advantage: +36.0 seconds 🧡 Lando Norris - Total Strategic Advantage: +27.0 seconds 🏁 STRATEGIC WINNER: Leclerc Strategic margin: 9.0 seconds Victory achieved through superior pit wall decisions!
📊 STRATEGIC INSIGHTS: ---------------------------------------- Leclerc - Favored strategy: Extend (23 times) Norris - Favored strategy: SafetyCar (23 times) 🎯 Most strategic battles occurred in the middle stint (laps 20-45) 🌡️ Barcelona's heat played a crucial role in tire strategy decisions 🏁 The winner was decided by consistent strategic execution!
In [48]:
import dash
from dash import dcc, html, Input, Output, State, callback_context
import dash_bootstrap_components as dbc
import plotly.graph_objects as go
import pandas as pd
import numpy as np
import random
import matplotlib.pyplot as plt
from io import BytesIO
import base64
import time
from threading import Thread, Lock
from dash.exceptions import PreventUpdate
from collections import deque
import plotly.express as px
# Constants
STRATEGIES = ['Undercut', 'Extend', 'SafetyCar']
FERRARI_DRIVERS = ['Leclerc', 'Sainz']
MCLAREN_DRIVERS = ['Norris', 'Piastri']
TOTAL_LAPS = 66
# Global simulation state with thread lock
simulation_lock = Lock()
live_simulation_data = {
'history': {'Leclerc': deque(maxlen=TOTAL_LAPS), 'Norris': deque(maxlen=TOTAL_LAPS)},
'payoff_history': {'Leclerc': deque(maxlen=TOTAL_LAPS), 'Norris': deque(maxlen=TOTAL_LAPS)},
'conditions_history': deque(maxlen=TOTAL_LAPS),
'running': False,
'current_lap': 0,
'total_laps': TOTAL_LAPS,
'last_update': 0
}
# Create sample data with more distinct strategy patterns
def create_sample_data():
np.random.seed(42)
# Create more distinct strategy patterns
ferrari_strats = np.random.choice(STRATEGIES, 100, p=[0.5, 0.3, 0.2])
mclaren_strats = np.random.choice(STRATEGIES, 100, p=[0.4, 0.4, 0.2])
# Create stronger correlations between certain strategy pairs
for i in range(20, 30):
if ferrari_strats[i] == 'Undercut':
mclaren_strats[i] = 'Extend'
elif ferrari_strats[i] == 'Extend':
mclaren_strats[i] = 'SafetyCar'
df = pd.DataFrame({
'Ferrari_Driver': np.random.choice(FERRARI_DRIVERS, 100),
'McLaren_Driver': np.random.choice(MCLAREN_DRIVERS, 100),
'Strategy_Ferrari': ferrari_strats,
'Strategy_McLaren': mclaren_strats,
'Time_Difference': np.random.uniform(-5, 5, 100),
'Position_Change': np.random.randint(-3, 4, 100),
'Degradation_Impact': np.random.uniform(-2, 2, 100),
'Payoff_Ferrari_s': np.random.uniform(-10, 10, 100)
})
df_bayes = pd.DataFrame({
'Strategy_Ferrari': np.random.choice(STRATEGIES, 50),
'Strategy_McLaren': np.random.choice(STRATEGIES, 50),
'Expected_Payoff_Ferrari': np.random.uniform(-5, 15, 50)
})
return df, df_bayes
df, df_bayes = create_sample_data()
# Barcelona Circuit Environment
class BarcelonaRaceEnvironment:
def __init__(self, safety_car_chance=0.15):
self.safety_car_chance = safety_car_chance
self.weather = random.choice(['Hot & Sunny', 'Very Hot', 'Scorching'])
self.track_temp = random.randint(45, 55)
def get_conditions(self):
return {
"safety_car": random.random() < self.safety_car_chance,
"weather": self.weather,
"track_temp": self.track_temp,
"tire_degradation": "High" if self.track_temp > 50 else "Medium"
}
# Strategic payoff matrix
PAYOFFS = {
'Leclerc': {
'Undercut': {'Undercut': 0, 'Extend': +8, 'SafetyCar': -3},
'Extend': {'Undercut': -6, 'Extend': +1, 'SafetyCar': +4},
'SafetyCar': {'Undercut': +3, 'Extend': -2, 'SafetyCar': 0}
},
'Norris': {
'Undercut': {'Undercut': 0, 'Extend': +7, 'SafetyCar': -2},
'Extend': {'Undercut': -5, 'Extend': +1, 'SafetyCar': +3},
'SafetyCar': {'Undercut': +2, 'Extend': -3, 'SafetyCar': 0}
}
}
def choose_strategy(opponent_history, team_name, lap_number):
"""Optimized strategy selection with weighted probabilities"""
if not opponent_history:
return random.choices(STRATEGIES, weights=[0.4, 0.35, 0.25], k=1)[0]
recent_history = list(opponent_history)[-10:] if len(opponent_history) > 10 else list(opponent_history)
counts = {s: recent_history.count(s) for s in STRATEGIES}
# Weight adjustments based on lap number
if lap_number > 40: # Late race
weights = [0.3, 0.3, 0.4]
elif lap_number < 20: # Early race
weights = [0.5, 0.3, 0.2]
else: # Mid race
weights = [0.35, 0.35, 0.3]
if counts:
likely_opponent = max(counts, key=counts.get)
counter_strategies = {
'Undercut': 'Extend',
'Extend': 'SafetyCar',
'SafetyCar': 'Undercut'
}
if random.random() < 0.7: # 70% chance to counter
return counter_strategies[likely_opponent]
return random.choices(STRATEGIES, weights=weights, k=1)[0]
def run_live_simulation():
"""Optimized simulation runner with thread lock"""
global live_simulation_data
with simulation_lock:
live_simulation_data['running'] = True
env = BarcelonaRaceEnvironment()
try:
while live_simulation_data['current_lap'] < live_simulation_data['total_laps'] and live_simulation_data['running']:
start_time = time.time()
with simulation_lock:
if not live_simulation_data['running']:
break
lap = live_simulation_data['current_lap']
conditions = env.get_conditions()
leclerc_choice = choose_strategy(live_simulation_data['history']['Norris'], 'Leclerc', lap)
norris_choice = choose_strategy(live_simulation_data['history']['Leclerc'], 'Norris', lap)
live_simulation_data['history']['Leclerc'].append(leclerc_choice)
live_simulation_data['history']['Norris'].append(norris_choice)
leclerc_payoff = PAYOFFS['Leclerc'][leclerc_choice][norris_choice]
norris_payoff = PAYOFFS['Norris'][norris_choice][leclerc_choice]
live_simulation_data['payoff_history']['Leclerc'].append(leclerc_payoff)
live_simulation_data['payoff_history']['Norris'].append(norris_payoff)
live_simulation_data['conditions_history'].append(conditions)
live_simulation_data['current_lap'] += 1
live_simulation_data['last_update'] = time.time()
# Adaptive sleep to maintain ~2 laps per second
elapsed = time.time() - start_time
sleep_time = max(0.05, 0.5 - elapsed) # Never sleep less than 50ms
time.sleep(sleep_time)
finally:
with simulation_lock:
live_simulation_data['running'] = False
def create_live_strategy_plot(history, payoff_history):
"""Create Plotly figure for live updates (faster than matplotlib)"""
if not history['Leclerc']:
return go.Figure()
laps = list(range(1, len(history['Leclerc']) + 1))
# Strategy mapping for visualization
strategy_map = {'Undercut': 1, 'Extend': 2, 'SafetyCar': 3}
leclerc_strat = [strategy_map[s] for s in history['Leclerc']]
norris_strat = [strategy_map[s] for s in history['Norris']]
# Cumulative advantage
leclerc_cum = np.cumsum(payoff_history['Leclerc'])
norris_cum = np.cumsum(payoff_history['Norris'])
# Create subplots
fig = go.Figure().set_subplots(rows=2, cols=2,
subplot_titles=("Strategy Evolution", "Strategic Battle Progress",
"Strategy Distribution", "Lap-by-Lap Gains"))
# Strategy Evolution
fig.add_trace(go.Scatter(
x=laps, y=leclerc_strat, name='Leclerc', mode='lines+markers',
line=dict(color='red'), marker=dict(symbol='circle')), row=1, col=1)
fig.add_trace(go.Scatter(
x=laps, y=norris_strat, name='Norris', mode='lines+markers',
line=dict(color='orange'), marker=dict(symbol='square')), row=1, col=1)
# Strategic Battle Progress
fig.add_trace(go.Scatter(
x=laps, y=leclerc_cum, name='Leclerc', line=dict(color='red')), row=1, col=2)
fig.add_trace(go.Scatter(
x=laps, y=norris_cum, name='Norris', line=dict(color='orange')), row=1, col=2)
# Strategy Distribution
leclerc_counts = [list(history['Leclerc']).count(s) for s in STRATEGIES]
norris_counts = [list(history['Norris']).count(s) for s in STRATEGIES]
fig.add_trace(go.Bar(
x=STRATEGIES, y=leclerc_counts, name='Leclerc', marker_color='red'), row=2, col=1)
fig.add_trace(go.Bar(
x=STRATEGIES, y=norris_counts, name='Norris', marker_color='orange'), row=2, col=1)
# Lap-by-Lap Gains
fig.add_trace(go.Bar(
x=laps, y=payoff_history['Leclerc'], name='Leclerc', marker_color='red'), row=2, col=2)
fig.add_trace(go.Bar(
x=laps, y=payoff_history['Norris'], name='Norris', marker_color='orange'), row=2, col=2)
# Update layout
fig.update_layout(
height=800,
showlegend=True,
plot_bgcolor='#121212',
paper_bgcolor='#121212',
font=dict(color='white'),
margin=dict(l=20, r=20, t=50, b=20)
)
# Update y-axes
fig.update_yaxes(title_text="Strategy Type", row=1, col=1,
tickvals=[1, 2, 3], ticktext=STRATEGIES)
fig.update_yaxes(title_text="Cumulative Advantage (s)", row=1, col=2)
fig.update_yaxes(title_text="Count", row=2, col=1)
fig.update_yaxes(title_text="Advantage (s)", row=2, col=2)
# Update x-axes
fig.update_xaxes(title_text="Lap", row=1, col=1)
fig.update_xaxes(title_text="Lap", row=1, col=2)
fig.update_xaxes(title_text="Strategy", row=2, col=1)
fig.update_xaxes(title_text="Lap", row=2, col=2)
return fig
def create_live_commentary(history, payoff_history, conditions_history, current_lap):
"""Generate optimized live race commentary"""
commentary = [
html.H4(f"🏁 Live Race Simulation - Lap {current_lap}/{TOTAL_LAPS} 🏁"),
html.P(f"Lap: {current_lap}/{TOTAL_LAPS}", id='lap-counter')
]
if current_lap == 0:
commentary.append(html.P("🚦 Ready to start simulation!"))
return commentary
# Add key moments
if current_lap == 1:
commentary.append(html.P("🚦 Lights out and away we go!"))
# Pit stop windows
pit_stop_laps = {15, 30, 45}
if current_lap in pit_stop_laps:
commentary.append(html.P(f"⏱️ Pit stop window opening around lap {current_lap}"))
# Current conditions
if current_lap > 0:
conditions = conditions_history[-1]
commentary.append(html.P(
f"🌡️ Weather: {conditions['weather']}, Track: {conditions['track_temp']}°C, "
f"Tires: {conditions['tire_degradation']} degradation"
))
if conditions['safety_car']:
commentary.append(html.P("🚨 SAFETY CAR DEPLOYED! Strategies may change!"))
# Current strategy
if current_lap > 0:
leclerc_strat = history['Leclerc'][-1]
norris_strat = history['Norris'][-1]
leclerc_gain = payoff_history['Leclerc'][-1]
norris_gain = payoff_history['Norris'][-1]
commentary.append(html.P(f"🔴 Leclerc: {leclerc_strat} strategy"))
commentary.append(html.P(f"🧡 Norris: {norris_strat} strategy"))
if abs(leclerc_gain) > 2 or abs(norris_gain) > 2:
if leclerc_gain > norris_gain:
commentary.append(html.P(f"⚡ Leclerc gains {leclerc_gain:.1f}s this lap!"))
else:
commentary.append(html.P(f"⚡ Norris gains {norris_gain:.1f}s this lap!"))
# Cumulative advantage
if current_lap > 0:
leclerc_total = sum(payoff_history['Leclerc'])
norris_total = sum(payoff_history['Norris'])
if abs(leclerc_total - norris_total) > 5:
if leclerc_total > norris_total:
commentary.append(html.P(
f"📊 Leclerc leading by {leclerc_total - norris_total:.1f}s "
f"(Total: Leclerc +{leclerc_total:.1f}s, Norris +{norris_total:.1f}s)"
))
else:
commentary.append(html.P(
f"📊 Norris leading by {norris_total - leclerc_total:.1f}s "
f"(Total: Leclerc +{leclerc_total:.1f}s, Norris +{norris_total:.1f}s)"
))
return commentary
# Initialize Dash app
app = dash.Dash(__name__, external_stylesheets=[dbc.themes.DARKLY])
app.title = "F1 Strategy Dashboard"
# Layout with tabs
app.layout = dbc.Container([
dbc.Row(dbc.Col(html.H1("F1 Strategy Battle: Ferrari vs McLaren", className="text-center my-4"))),
dbc.Tabs([
dbc.Tab(label="Strategy Interactions", children=[
dbc.Row([
dbc.Col([
html.H3("Driver Selection"),
dcc.Dropdown(
id='ferrari-driver-dropdown',
options=[{'label': d, 'value': d} for d in FERRARI_DRIVERS],
value='Leclerc',
clearable=False,
className='mb-3'
),
dcc.Dropdown(
id='mclaren-driver-dropdown',
options=[{'label': d, 'value': d} for d in MCLAREN_DRIVERS],
value='Norris',
clearable=False,
className='mb-3'
),
], width=3),
dbc.Col([
html.H3("Metric Selection"),
dcc.Dropdown(
id='metric-dropdown',
options=[
{'label': 'Payoff (Ferrari advantage in seconds)', 'value': 'Payoff'},
{'label': 'Time Difference (absolute seconds)', 'value': 'Time Difference'},
{'label': 'Position Change (positions gained/lost)', 'value': 'Position Change'},
{'label': 'Degradation Impact (tire wear effect)', 'value': 'Degradation Impact'}
],
value='Payoff',
clearable=False,
className='mb-3'
),
], width=4),
dbc.Col([
html.H3("Diagram Settings"),
dcc.Slider(
id='sankey-height',
min=400,
max=1000,
step=50,
value=600,
marks={i: str(i) for i in range(400, 1001, 100)},
className='mb-3'
),
dbc.Checklist(
id='sankey-options',
options=[
{"label": "Show strategy frequencies", "value": "show_freq"},
{"label": "Color by advantage", "value": "color_adv"}
],
value=["color_adv"],
switch=True,
className='mb-3'
)
], width=5),
]),
dbc.Row(dbc.Col(dcc.Graph(id='sankey-plot'), className="my-4")),
dbc.Row(dbc.Col(html.Div(id='sankey-stats'), className="my-4")),
]),
dbc.Tab(label="Bayesian Analysis", children=[
dbc.Row([
dbc.Col([
html.H3("Quick Actions"),
dbc.Button("Top 10 Best Moves", id="btn-top10", color="primary", className="me-2 mb-2"),
dbc.Button("Ferrari Best vs Each McLaren", id="btn-ferrari-best", color="success", className="me-2 mb-2"),
dbc.Button("Worst Case Scenarios", id="btn-worst", color="danger", className="me-2 mb-2"),
dbc.Button("All Strategies", id="btn-all", color="info", className="me-2 mb-2"),
], width=6),
dbc.Col([
html.H3("Filter by Ferrari Strategy"),
dcc.Dropdown(
id='ferrari-strategy-dropdown',
options=[{'label': s, 'value': s} for s in STRATEGIES],
value=None,
placeholder="Select Ferrari Strategy"
),
html.H3("Filter by McLaren Strategy", className="mt-3"),
dcc.Dropdown(
id='mclaren-strategy-dropdown',
options=[{'label': s, 'value': s} for s in STRATEGIES],
value=None,
placeholder="Select McLaren Strategy"
),
], width=6),
]),
dbc.Row([
dbc.Col(html.H3(id="results-title"), width=12),
dbc.Col(html.Div(id="results-table"), width=12),
dbc.Col(html.Div(id="quick-stats"), width=12),
], className="my-4"),
]),
dbc.Tab(label="Lap Time Analysis", children=[
dbc.Row(dbc.Col(dcc.Graph(id='lap-time-plot'), className="my-4")),
]),
dbc.Tab(label="Live Simulation", children=[
dbc.Row([
dbc.Col([
html.H3("Live Race Simulation"),
dbc.Button("Start Simulation", id="btn-start-sim", color="success", className="me-2 mb-2"),
dbc.Button("Pause Simulation", id="btn-pause-sim", color="warning", className="me-2 mb-2"),
dbc.Button("Reset Simulation", id="btn-reset-sim", color="danger", className="me-2 mb-2"),
html.Div(id='simulation-speed-control', className="mt-3 mb-3",
children=[
html.Label("Simulation Speed:"),
dcc.Slider(
id='speed-slider',
min=1,
max=10,
step=1,
value=5,
marks={i: str(i) for i in range(1, 11)}
)
]),
html.Div(id='simulation-commentary', className="mt-3 p-3 border rounded",
style={'height': '400px', 'overflowY': 'scroll'}),
dcc.Interval(id='simulation-interval', interval=500, disabled=True),
], width=4),
dbc.Col(dcc.Graph(id='live-strategy-plot'), width=8),
]),
]),
]),
], fluid=True, style={'backgroundColor': '#121212'})
# Callbacks for Sankey plot
@app.callback(
[Output('sankey-plot', 'figure'),
Output('sankey-stats', 'children')],
[Input('ferrari-driver-dropdown', 'value'),
Input('mclaren-driver-dropdown', 'value'),
Input('metric-dropdown', 'value'),
Input('sankey-height', 'value'),
Input('sankey-options', 'value')]
)
def update_sankey(ferrari_driver, mclaren_driver, metric, height, options):
heat = df[(df.Ferrari_Driver==ferrari_driver) & (df.McLaren_Driver==mclaren_driver)].copy()
if heat.empty:
return go.Figure(), "No data available for selected drivers"
# Get unique strategies and create mapping
strategy_labels = sorted(list(set(heat["Strategy_Ferrari"]).union(set(heat["Strategy_McLaren"]))))
label_to_index = {label: i for i, label in enumerate(strategy_labels)}
# Prepare source, target, and value data
sources = [label_to_index[row["Strategy_Ferrari"]] for _, row in heat.iterrows()]
targets = [label_to_index[row["Strategy_McLaren"]] for _, row in heat.iterrows()]
# Prepare hover data
customdata = list(zip(
heat["Time_Difference"].round(2),
heat["Position_Change"],
heat["Degradation_Impact"].round(2),
heat["Payoff_Ferrari_s"].round(2)
))
# Calculate frequencies for each strategy combination
freq = {}
for s, t in zip(sources, targets):
key = (s, t)
freq[key] = freq.get(key, 0) + 1
# Prepare values based on selected metric
metric_values = {
"Payoff": [abs(row["Payoff_Ferrari_s"]) * 5 for _, row in heat.iterrows()],
"Time Difference": [abs(row["Time_Difference"]) * 10 for _, row in heat.iterrows()],
"Position Change": [abs(row["Position_Change"]) * 20 for _, row in heat.iterrows()],
"Degradation Impact": [abs(row["Degradation_Impact"]) * 10 for _, row in heat.iterrows()]
}
values = metric_values.get(metric, metric_values["Payoff"])
# Color links based on advantage if option selected
if "color_adv" in options:
colors = [
"rgba(0, 255, 0, 0.6)" if row["Payoff_Ferrari_s"] > 0
else "rgba(255, 0, 0, 0.6)"
for _, row in heat.iterrows()
]
else:
colors = [
"rgba(100, 149, 237, 0.6)" # Cornflower blue
for _ in range(len(sources))
]
# Create Sankey diagram
fig = go.Figure(go.Sankey(
node=dict(
label=strategy_labels,
pad=30, # Increased padding
thickness=30, # Thicker nodes
line=dict(color="black", width=1),
hovertemplate='%{label}<extra></extra>',
color='rgba(255, 255, 255, 0.8)',
x=[0.1 if i < len(strategy_labels)/2 else 0.9 for i in range(len(strategy_labels))],
y=[i/len(strategy_labels) for i in range(len(strategy_labels))]
),
link=dict(
source=sources,
target=targets,
value=values,
color=colors,
customdata=customdata,
hovertemplate=(
"<b>Ferrari Strategy</b>: %{source.label}<br>"
"<b>McLaren Strategy</b>: %{target.label}<br><br>"
"<b>Metric Value</b>: %{value:.0f}<br>"
"<b>Time Difference</b>: %{customdata[0]} sec<br>"
"<b>Position Change</b>: %{customdata[1]}<br>"
"<b>Degradation Impact</b>: %{customdata[2]:.2f}<br>"
"<b>Payoff (Ferrari)</b>: %{customdata[3]:.2f}s"
"<extra></extra>"
)
)
))
# Enhanced layout
fig.update_layout(
title_text=f"Strategy Interactions: {ferrari_driver} (Ferrari) vs {mclaren_driver} (McLaren)",
title_font_size=20,
font_size=14,
plot_bgcolor='#121212',
paper_bgcolor='#121212',
font_color='white',
height=height,
margin=dict(l=50, r=50, t=80, b=50),
hoverlabel=dict(
bgcolor="black",
font_size=14,
font_family="Arial"
)
)
# Calculate and display statistics
total_interactions = len(heat)
most_common_ferrari = heat['Strategy_Ferrari'].mode()[0]
most_common_mclaren = heat['Strategy_McLaren'].mode()[0]
avg_payoff = heat['Payoff_Ferrari_s'].mean()
stats = dbc.Card([
dbc.CardHeader("Interaction Statistics"),
dbc.CardBody([
html.P(f"Total strategy interactions analyzed: {total_interactions}"),
html.P(f"Most common Ferrari strategy: {most_common_ferrari}"),
html.P(f"Most common McLaren strategy: {most_common_mclaren}"),
html.P(f"Average Ferrari payoff: {avg_payoff:.2f} seconds"),
html.P("Link colors show Ferrari advantage (green) or disadvantage (red)" if "color_adv" in options
else "Links colored by strategy combination")
])
])
return fig, stats
# Callbacks for Bayesian analysis
@app.callback(
[Output('results-table', 'children'),
Output('results-title', 'children'),
Output('quick-stats', 'children')],
[Input('btn-top10', 'n_clicks'),
Input('btn-ferrari-best', 'n_clicks'),
Input('btn-worst', 'n_clicks'),
Input('btn-all', 'n_clicks'),
Input('ferrari-strategy-dropdown', 'value'),
Input('mclaren-strategy-dropdown', 'value')]
)
def update_results(btn_top10, btn_ferrari_best, btn_worst, btn_all, ferrari_filter, mclaren_filter):
ctx = callback_context
if not ctx.triggered:
filtered_df = df_bayes.sort_values(by="Expected_Payoff_Ferrari", ascending=False).head(10)
title = "Top 10 Best Moves for Ferrari"
else:
button_id = ctx.triggered[0]['prop_id'].split('.')[0]
if button_id == 'btn-top10':
filtered_df = df_bayes.sort_values(by="Expected_Payoff_Ferrari", ascending=False).head(10)
title = "Top 10 Best Moves for Ferrari"
elif button_id == 'btn-ferrari-best':
best_responses = []
for mclaren_strat in STRATEGIES:
subset = df_bayes[df_bayes['Strategy_McLaren'] == mclaren_strat]
if not subset.empty:
best = subset.loc[subset['Expected_Payoff_Ferrari'].idxmax()]
best_responses.append(best)
filtered_df = pd.DataFrame(best_responses)
title = "Ferrari's Best Response to Each McLaren Strategy"
elif button_id == 'btn-worst':
filtered_df = df_bayes.sort_values(by="Expected_Payoff_Ferrari", ascending=True).head(10)
title = "Worst Case Scenarios for Ferrari"
elif button_id == 'btn-all':
filtered_df = df_bayes.sort_values(by="Expected_Payoff_Ferrari", ascending=False)
title = "All Strategy Combinations"
elif button_id == 'ferrari-strategy-dropdown' and ferrari_filter:
filtered_df = df_bayes[df_bayes['Strategy_Ferrari'] == ferrari_filter]
filtered_df = filtered_df.sort_values(by="Expected_Payoff_Ferrari", ascending=False)
title = f"Ferrari Strategy: {ferrari_filter}"
elif button_id == 'mclaren-strategy-dropdown' and mclaren_filter:
filtered_df = df_bayes[df_bayes['Strategy_McLaren'] == mclaren_filter]
filtered_df = filtered_df.sort_values(by="Expected_Payoff_Ferrari", ascending=False)
title = f"McLaren Strategy: {mclaren_filter}"
else:
filtered_df = df_bayes.sort_values(by="Expected_Payoff_Ferrari", ascending=False).head(10)
title = "Top 10 Best Moves for Ferrari"
if ferrari_filter and mclaren_filter:
filtered_df = df_bayes[
(df_bayes['Strategy_Ferrari'] == ferrari_filter) &
(df_bayes['Strategy_McLaren'] == mclaren_filter)
]
title = f"Ferrari: {ferrari_filter} vs McLaren: {mclaren_filter}"
table_data = []
for _, row in filtered_df.iterrows():
payoff = row['Expected_Payoff_Ferrari']
color = 'green' if payoff > 0 else 'red' if payoff < 0 else 'white'
table_data.append(html.Tr([
html.Td(row['Strategy_Ferrari']),
html.Td(row['Strategy_McLaren']),
html.Td(f"{payoff:.3f}", style={'color': color}),
]))
table = dbc.Table([
html.Thead([
html.Tr([
html.Th("Ferrari Strategy"),
html.Th("McLaren Strategy"),
html.Th("Expected Payoff")
])
]),
html.Tbody(table_data)
], bordered=True, hover=True, responsive=True, striped=True)
if len(filtered_df) > 0:
max_payoff = filtered_df['Expected_Payoff_Ferrari'].max()
min_payoff = filtered_df['Expected_Payoff_Ferrari'].min()
avg_payoff = filtered_df['Expected_Payoff_Ferrari'].mean()
stats = dbc.Card([
dbc.CardHeader("Quick Statistics"),
dbc.CardBody([
html.P(f"Max Payoff: {max_payoff:.3f}", className="mb-2"),
html.P(f"Min Payoff: {min_payoff:.3f}", className="mb-2"),
html.P(f"Average Payoff: {avg_payoff:.3f}", className="mb-2"),
html.P(f"Number of Scenarios: {len(filtered_df)}")
])
], className="mt-3")
else:
stats = html.Div("No data available for selected filters")
return table, title, stats
# Callbacks for live simulation
@app.callback(
[Output('btn-start-sim', 'disabled'),
Output('btn-pause-sim', 'disabled'),
Output('btn-reset-sim', 'disabled'),
Output('simulation-interval', 'disabled')],
[Input('btn-start-sim', 'n_clicks'),
Input('btn-pause-sim', 'n_clicks'),
Input('btn-reset-sim', 'n_clicks')],
[State('speed-slider', 'value')]
)
def control_simulation_buttons(start_clicks, pause_clicks, reset_clicks, speed):
ctx = callback_context
if not ctx.triggered:
return False, True, False, True
button_id = ctx.triggered[0]['prop_id'].split('.')[0]
with simulation_lock:
if button_id == 'btn-start-sim':
if not live_simulation_data['running']:
if live_simulation_data['current_lap'] >= live_simulation_data['total_laps']:
# Reset if we've completed a simulation
live_simulation_data['history'] = {'Leclerc': deque(maxlen=TOTAL_LAPS), 'Norris': deque(maxlen=TOTAL_LAPS)}
live_simulation_data['payoff_history'] = {'Leclerc': deque(maxlen=TOTAL_LAPS), 'Norris': deque(maxlen=TOTAL_LAPS)}
live_simulation_data['conditions_history'] = deque(maxlen=TOTAL_LAPS)
live_simulation_data['current_lap'] = 0
live_simulation_data['running'] = True
thread = Thread(target=run_live_simulation)
thread.start()
return True, False, True, False
elif button_id == 'btn-pause-sim':
live_simulation_data['running'] = False
return False, True, False, True
elif button_id == 'btn-reset-sim':
live_simulation_data['history'] = {'Leclerc': deque(maxlen=TOTAL_LAPS), 'Norris': deque(maxlen=TOTAL_LAPS)}
live_simulation_data['payoff_history'] = {'Leclerc': deque(maxlen=TOTAL_LAPS), 'Norris': deque(maxlen=TOTAL_LAPS)}
live_simulation_data['conditions_history'] = deque(maxlen=TOTAL_LAPS)
live_simulation_data['current_lap'] = 0
live_simulation_data['running'] = False
return False, True, False, True
return False, True, False, True
@app.callback(
Output('simulation-commentary', 'children'),
[Input('simulation-interval', 'n_intervals')]
)
def update_simulation_commentary(n):
with simulation_lock:
history = {
'Leclerc': list(live_simulation_data['history']['Leclerc']),
'Norris': list(live_simulation_data['history']['Norris'])
}
payoff_history = {
'Leclerc': list(live_simulation_data['payoff_history']['Leclerc']),
'Norris': list(live_simulation_data['payoff_history']['Norris'])
}
conditions_history = list(live_simulation_data['conditions_history'])
current_lap = live_simulation_data['current_lap']
return create_live_commentary(history, payoff_history, conditions_history, current_lap)
@app.callback(
Output('live-strategy-plot', 'figure'),
[Input('simulation-interval', 'n_intervals')]
)
def update_live_strategy_plot(n):
with simulation_lock:
history = {
'Leclerc': list(live_simulation_data['history']['Leclerc']),
'Norris': list(live_simulation_data['history']['Norris'])
}
payoff_history = {
'Leclerc': list(live_simulation_data['payoff_history']['Leclerc']),
'Norris': list(live_simulation_data['payoff_history']['Norris'])
}
return create_live_strategy_plot(history, payoff_history)
# Callback for lap time plot
@app.callback(
Output('lap-time-plot', 'figure'),
Input('btn-top10', 'n_clicks')
)
def update_lap_time_plot(_):
np.random.seed(42)
fig = go.Figure()
# Generate sample lap time data for Ferrari
for drv in FERRARI_DRIVERS:
lap_numbers = np.arange(1, 67)
base_time = 85 + np.random.normal(0, 0.5)
lap_times = base_time + np.random.normal(0, 0.3, 66) + np.linspace(0, 2, 66)
fig.add_trace(go.Scatter(
x=lap_numbers, y=lap_times,
name=f"Ferrari - {drv}",
line=dict(color='red' if drv == 'Leclerc' else 'darkred')
))
# Generate sample lap time data for McLaren
for drv in MCLAREN_DRIVERS:
lap_numbers = np.arange(1, 67)
base_time = 85.5 + np.random.normal(0, 0.5)
lap_times = base_time + np.random.normal(0, 0.3, 66) + np.linspace(0, 1.8, 66)
fig.add_trace(go.Scatter(
x=lap_numbers, y=lap_times,
name=f"McLaren - {drv}",
line=dict(color='orange' if drv == 'Norris' else 'darkorange', dash='dash')
))
fig.update_layout(
title="Lap Time Trend - Spanish GP 2024",
xaxis_title="Lap Number",
yaxis_title="Lap Time (s)",
plot_bgcolor='#121212',
paper_bgcolor='#121212',
font=dict(color='white'),
legend=dict(
orientation="h",
yanchor="bottom",
y=1.02,
xanchor="right",
x=1
)
)
return fig
if __name__ == '__main__':
app.run_server(debug=True, port=8050)